Debian Science Project
Summary
Statistics
»Debian Science« Statistik-Pakete

Dieses Metapaket ist Teil des Debian Pure Blend »Debian Science« und installiert Pakete im Zusammenhang zum Begriff Statistiken. Dieser Task ist ein allgemeiner Task, welcher nützlich ist für alle wissenschaftlichen Arbeiten. Das Paket hängt von einer Reihe von R-Paketen ab, genau so wie von anderen Werkzeugen, die nützlich für die Anwendung von Statistik sind. Des weiteren ist der Task Mathematik-Wissenschaften empfohlen, um optionale Mathematik-Software zu installieren.

Description

For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:

If you discover a project which looks like a good candidate for Debian Science to you, or if you have prepared an unofficial Debian package, please do not hesitate to send a description of that project to the Debian Science mailing list

Links to other tasks

Debian Science Statistics packages

Official Debian packages with high relevance

apophenia-bin
Apophenia Statistical C Library -- binary package
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The Apophenia Statistical C Library is an open source C library for working with data sets and statistical models. It provides functions on the same level as those of the typical stats packages (such as OLS, probit, or singular value decomposition) but gives the user more flexibility to be creative in model-building.

Apophenia is meant to scale well, to comfortably work with gigabyte data sets, million-step simulations, or computationally-intensive agent-based models.

Apophenia builds upon the GNU Scientific and SQLite libraries, MySQL/mariaDB is also supported. The core functions are written in C, but experience has shown them to be easy to bind in Python, Julia, Perl, Ruby, etc. The source code is distributed under the GNU General Public License version 2 (GPL2).

This package provides several command line utility examples.

datamash
statistics tool for command-line interface
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GNU Datamash is a command-line program which performs basic numeric, textual and statistical operations on input textual data files. It is designed to be portable and reliable, and aid researchers to easily automate analysis pipelines, without writing code or even short scripts.

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elpa-ess
Emacs mode for statistical programming and data analysis
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Emacs Speaks Statistics (ESS) is an add-on package for GNU Emacs. It is designed to support editing of scripts and interaction with various statistical analysis programs such as R, S, S-Plus, SAS, Stata, BUGS/JAGS and Julia.

It provides the following features:

  • Editing source code (R, S, S-plus, SAS, BUGS/JAGS, Stata, Julia)
  • Syntactic indentation and highlighting of source code
  • Partial evaluation of code
  • Loading and error-checking of code
  • Source code revision maintenance
  • Batch execution (SAS, BUGS/JAGS)
  • Use of imenu to provide links to appropriate functions
  • Interacting with the process (R, S, S-plus, SAS, Stata, Julia)
  • Command-line editing
  • Searchable Command history
  • Command-line completion of R, S, S-plus object names and file names
  • Quick access to object lists and search lists
  • Transcript recording
  • Interface to the help system
  • Transcript manipulation (R, S, S-plus, Stata)
  • Recording and saving transcript files
  • Manipulating and editing saved transcripts
  • Re-evaluating commands from transcript files
  • Interaction with Help Pages and other Documentation (R)
  • Fast Navigation
  • Sending Examples to running ESS process
  • Fast Transfer to Further Help Pages
  • Help File Editing (R)
  • Syntactic indentation and highlighting of source code
  • Sending Examples to running ESS process
  • Previewing
libdistlib-java
Java library of statistical distribution functions
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This is a library written in Java, providing probability density function, cumulative distribution function, quantiles and random variate generation for several common statistical distributions.

littler
Kommandozeilen- und Skripting-Frontend für GNU R -- Übergangspaket
Maintainer: Dirk Eddelbuettel
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Das Programm »r« (auch bekannt als »littler«) ist ein kleiner, binärer Wrapper für die GNU-R-Sprache und -Umgebung für statistische Berechnungen und Grafiken.

Während GNU R im Batchmodus genutzt werden kann, bietet »r« volle Unterstützung sowohl für das Skripting im »shebang«-Stil (das heißt in der ersten Zeile des Skripts steht ein Ausdruck Rautenzeichen-Ausrufezeichen-Pfad) als auch für die Nutzung der Kommandozeile in Verbindung mit Pipelines. Kurz, r stellt die R-Sprache ohne die Umgebung zur Verfügung.

Dieses virtuelle Paket stellt sicher, dass »r-cran-littler« installiert ist. Sobald dies erledigt ist, kann dieses »kleinere« Paket entfernt werden.

persalys
GUI for uncertainty treatment and variabilities management
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Persalys is a graphical user interface for OpenTURNS, dedicated to the treatment of uncertainty and the management of variabilities. The software is a tool between the computer simulation, probabilistic analyses and the data sciences. The interface is available in French or in English.

Persalys allows one to:

  • create mathematical models: analytical, coupling with an external model (finite elements, ...), FMU;
  • analyse the variability of one's parameters thanks to many methods and visualisation tools;
  • statistically analyse one's measuring data, infer probability distributions or create metamodels.
psignifit
Fitting and testing hypotheses about psychometric functions
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Psignifit allows fitting of psychometric functions to datasets while maintaining full control over a large number of parameters. Data can either be read from text files or passed through a pipe.

Psignifit performs the calculation of confidence intervals as well as goodness-of-fit tests.

This is the command line version.

Please note: This is the legacy version 2.x of psignifit.

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pspp
Statistical analysis tool
Maintainer: Friedrich Beckmann
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PSPP is a program for statistical analysis of sampled data. It is a free replacement for the proprietary program SPSS.

PSPP supports T-tests, ANOVA, GLM, factor analysis, non-parametric tests, and other statistical features. PSPP produces statistical reports in plain text, PDF, PostScript, CSV, HTML, SVG, and OpenDocument formats.

PSPP has both text-based and graphical user interfaces. The PSPP user interface has been translated into a number of languages.

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python3-bayespy
variational Bayesian inference tools for Python
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BayesPy provides tools for Bayesian inference with Python. The user constructs a model as a Bayesian network, observes data and runs posterior inference. The goal is to provide a tool which is efficient, flexible and extendable enough for expert use but also accessible for more casual users.

This package provides the modules for Python 3

python3-hmmlearn
??? missing short description for package python3-hmmlearn :-(
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python3-openturns
Python3 front-end of OpenTURNS (aka TUI)
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OpenTURNS is a powerful and generic tool to treat and quantify uncertainties in numerical simulations in design, optimization and control. It allows both sensitivity and reliability analysis studies:

  • defining the outputs of interest and decision criterion;
  • quantify and model the source of uncertainties;
  • propagate uncertainties and/or analyse sensitivity and
  • rank the sources of uncertainty

Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies.

This package provides the Python3 bindings to the library.

python3-pandas
data structures for "relational" or "labeled" data
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pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data:

  • Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet
  • Ordered and unordered (not necessarily fixed-frequency) time series data.
  • Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels
  • Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure

This package contains the Python 3 version.

The package is enhanced by the following packages: python3-bottleneck python3-sklearn-pandas
Please cite: McKinney, Wes: pandas: a Foundational Python Library for Data Analysis and Statistics (eprint) (2011)
python3-persalys
GUI for uncertainty treatment (Python bindings)
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Persalys is a graphical user interface for OpenTURNS, dedicated to the treatment of uncertainty and the management of variabilities. The software is a tool between the computer simulation, probabilistic analyses and the data sciences. The interface is available in French or in English.

Persalys allows one to:

  • create mathematical models: analytical, coupling with an external model (finite elements, ...), FMU;
  • analyse the variability of one's parameters thanks to many methods and visualisation tools;
  • statistically analyse one's measuring data, infer probability distributions or create metamodels.

This package contains the Python3 bindings.

python3-scipy
Wissenschaftliche Werkzeuge für Python 3
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SciPy ergänzt die populären NumPy-Module (das Paket python-numpy), indem eine Vielfalt von hochentwickelten Wissenschafts- und Technikmodulen zusammen in einem Paket geliefert werden.

SciPy ist ein Satz von quelloffenen wissenschaftlichen und numerischen Werkzeugen für Python. Es unterstützt derzeit spezielle Funktionen, Integrale, Gradientenoptimierung und genetische Algorithmen. Enthalten sind Werkzeuge für Parallelrechner, ein Gleichungslöser für gewöhnliche Differentialgleichungen (ODE), ein Programm, das Ausdrücke in C++-Code umsetzt und anderes mehr.

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python3-statsmodels
Python3 module for the estimation of statistical models
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statsmodels Python3 module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for several distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem.

Please cite: Skipper Seabold and Josef Perktold: Statsmodels: Econometric and statistical modeling with python (eprint) (2010)
r-cran-abind
GNU R: multidimensionale Array-Kombinationsfunktion abind
Maintainer: Dirk Eddelbuettel
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Dieses Paket liefert die Funktion abind, eine Verallgemeinerung der Funktionen cbind und rbind des R-Basispakets. Die Funktion abind nimmt eine Sequenz an Vektoren, Matrizen oder Arrays an und erstellt daraus ein einziges Array der selben oder einer höheren Dimension.

r-cran-acepack
GNU-R-Paket für Regressionstransformationen
Maintainer: Dirk Eddelbuettel
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Dieses Paket stellt die Funktionen ace() und avas() für GNU R bereit, die zur Auswahl von Regressionstransformationen verwendet werden können.

r-cran-afex
GNU R package for analyzing factorial experiments using ANOVA or mixed models
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The r-cran-afex package is a GNU R package providing convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated- measures), or mixed between-within (i.e., split- plot) ANOVAs for data in long format (i.e., one observation per row), potentially aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3 sums of squares as default (imitating commercial statistical software).

r-cran-amore
GNU R: ein NOCH flexibleres Paket für Neuronale Netze
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Dieses Paket entstand, um den robusten TAO-Algorithmus für Neuronale Netze für die Anwender von R bereitzustellen. Er wurde weiter entwickelt und kann von Interesse sein sowohl für Anwender, die ihre eigenen Trainings-Algorithmen implementieren wollen, als auch für diejenigen, deren Bedürfnisse sich auf die Anwendung beschränken.

r-cran-arm
Data Analysis Using Regression and Multilevel/Hierarchical Models
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R functions for processing 'lm', 'glm', 'svy.glm', 'merMod' and 'polr' outputs.

r-cran-bayesfactor
GNU R Bayes factors for t-tests, ANOVAs and contingency tables
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r-cran-bayesfactor is a GNU R package providing a suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one- way designs, general ANOVA designs, and linear regression.

r-cran-bayesm
GNU-R-Paket für Bayessche Statistik
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Das Paket bayesm behandelt viele wichtige Modelle von Anwendungen in Marketing und Mikroökonometrie. Das Paket enthält:

  • Bayes-Regression (uni- oder multivariate dep var)
  • Multinomiales Logit- (MNL) und Multinomiales Probit-Modell (MNP)
  • Multivariates Probit-Modell,
  • Multivariate normale Mischverteilung
  • Mehrebenenanalyse mit normaler A-priori-Wahrscheinlichkeit und Kovariaten
  • »Hierarchical Multinomial Logits« mit Mischverteilungen von normalen Anfangswahrscheinlichkeit und Kovariaten
  • Bayessche Analyse von Daten einer entscheidungsbasierten Conjoint-Analyse
  • Bayessche Aufbereitung von linearen Instrumentvariablen-Modelle
  • Analyse von multivariaten Ordinal-Befragungsdaten mit in Skalen verwendete Heterogenität (siehe Rossi et al, JASA (01)).

Weiterführende Literatur: »Bayesian Statistics and Marketing« von Allenby, McCulloch und Rossi.

r-cran-bms
GNU R package for Bayesian model averaging for linear models
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r-cran-bms is a GNU Package for Bayesian model averaging for linear models with a wide choice of (customizable) priors. Built-in priors include coefficient priors (fixed, flexible and hyper-g priors), 5 kinds of model priors, moreover model sampling by enumeration or various MCMC approaches.

Please cite: Martin Feldkircher and Stefan Zeugner: Benchmark Priors Revisited: On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging. (eprint) IMF Working Papers 202:1-39 (2009)
r-cran-boot
GNU R-Paket für bootstrapping-Funktionen von Davison und Hinkley
Maintainer: Dirk Eddelbuettel
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Dieses Paket beinhaltet Funktionen und Datensätze aus dem Buch »Bootstrap Methods and Their Applications« von A. C. Davison und D. V. Hinkley (1997, CUP). Das Paket wurde ursprünglich von Angelo Canty geschrieben und von Brian Ripley auf R portiert.

Dieses Paket ist Teil des Satzes der Pakete, die von »R Core« empfohlen werden und wird zusammen mit den Original-Quelltexten von R selbst verteilt.

r-cran-bradleyterry2
GNU R package for using Bradley-Terry models
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Specify and fit the Bradley-Terry model, including structured versions in which the parameters are related to explanatory variables through a linear predictor and versions with contest-specific effects, such as a home advantage.

r-cran-ca
GNU R package for simple, multiple and joint correspondence analysis
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r-cran-ca is a GNU R package for computation and visualization of simple, multiple and joint correspondence analysis

r-cran-cairodevice
GNU R Cairo/Gtk2 device driver package
Maintainer: Dirk Eddelbuettel
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This CRAN package provides a Cairo/GTK2 graphics device for GNU R that, in addition to standalone functionality, can be used to create devices as embedded components in a GUI using a Gtk drawing area widget, e.g. using RGtk2.

r-cran-car
GNU R Companion to Applied Regression von John Fox
Maintainer: Dirk Eddelbuettel
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Dieses Paket begleitet »An R und S-PLUS Companion to Applied Regression« von J. Fox, Sage, 2002. Das Paket enthält vor allem Funktionen für angewandte Regression, lineare Modelle und generalisierte lineare Modelle, wobei der Schwerpunkt auf der Regressionsdiagnostik, insbesondere grafischen Diagnosemethoden liegt. Es gibt auch einige Hilfsfunktionen.

r-cran-caret
GNU R package for classification and regression training
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This GNU R package provides misc functions for training and plotting classification and regression models.

r-cran-chron
GNU R package for chronologically ordered objects
Maintainer: Dirk Eddelbuettel
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This package contains function for chronologically ordered objects to handle dates and time in GNU R.

r-cran-cluster
GNU-R-Paket zur Cluster-Analyse von Rousseeuw et al
Maintainer: Dirk Eddelbuettel
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Dieses Paket enthält Funktionen und Datensätze zur Cluster-Analyse, die ursprünglich von Peter Rousseeuw, Anja Struyf und Mia Hubert geschrieben wurden.

Dieses Paket ist Teil des Satzes der Pakete, die von »R Core« empfohlen werden und wird mit Original-Quellcode-Releases von R ausgeliefert.

r-cran-coda
Ausgabeanalyse und -diagnostiken für MCMC-Simulationen in R
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Dieses Paket bietet Ausgabeanalyse und -diagnostiken für Markov-Ketten und Monte-Carlo-Simulationen und -Schätzungen innerhalb von R. Es beinhaltet außerdem ein paar grafische Analyseroutinen und die Möglichkeit, die Ausgabe von BUGS (Bayes Using Gibbs Sampling), einem beliebten Werkzeug für MCMC-Simulationen, zu importieren.

Das verwandte Paket r-cran-mcmcpack beinhaltet MCMC-Schätzer für ein paar geläufige Modelle der Sozialwisenschaften.

r-cran-codetools
GNU-R-Paket mit Werkzeugen zur Code-Analyse
Maintainer: Dirk Eddelbuettel
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Dieses Paket bietet Funktionen für die Analyse von R-Code.

Dieses Paket ist Teil des Satzes der Pakete, die von »R Core« empfohlen werden und wird mit Original-Quellcode-Releases von R verteilt.

r-cran-coin
GNU R package providing conditional inference procedures
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The r-cran-coin package is a GNU R package providing conditional inference procedures for the general independence problem including two- sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems.

r-cran-contfrac
GNU R package providing various utilities for evaluating continued fractions
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The contfrac package is a GNU R package providing various utilities for evaluating continued fractions.

r-cran-conting
??? missing short description for package r-cran-conting :-(
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r-cran-corpcor
GNU R for Estimation of Covariance and Correlation -- corpcor
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GNU R package which implements a James-Stein-type shrinkage estimator for the covariance matrix, with separate shrinkage for variances and correlations. The approach is both computationally as well as statistically very efficient, it is applicable to "small n, large p" data, and always returns a positive definite and well-conditioned covariance matrix. In addition to inferring the covariance matrix the package also provides shrinkage estimators for partial correlations and partial variances. The inverse of the covariance and correlation matrix can be efficiently computed, as well as any arbitrary power of the shrinkage correlation matrix. Furthermore, functions are available for fast singular value decomposition, for computing the pseudoinverse, and for checking the rank and positive definiteness of a matrix.

r-cran-date
GNU R package for date handling
Maintainer: Dirk Eddelbuettel
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This CRAN package provides functions for handling dates, along with examples and documentation.

Note that this is a legacy package providing functionality that had been absent from R. However, more recent versions of R have more powerful date and datetime functionality in the base package, i.e. r-base-core under Debian.

r-cran-dbi
GNU-R-Paket, stellt eine allgemeine Datenbankschnittstelle bereit
Maintainer: Dirk Eddelbuettel
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Dieses Paket definiert eine allgemeine Datenbankschnittstelle (DBI) zur Kommunikation zwischen R und relationalen Datenbankmanagementsystemen - vergleichbar mit Perls DBI-System. Alle in diesem Paket enthaltenen Klassen sind virtuell und müssen von den verschiedenen R/DBMS-Implementierungen erweitert werden, wie etwa durch RMySQL.

r-cran-deldir
GNU R Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
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This GNU R package calculates the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. This package is used in Spatial Point Pattern analysis, model-fitting and simulation as it is done for instance in the package r-cran-spatstat.

r-cran-desolve
GNU R package providing functions that solve initial value problems
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The deSolve package is a GNU R package providing functions that solve initial value problems of a system of first-order ordinary differential equations (ODE), of partial differential equations (PDE), of differential algebraic equations (DAE), and of delay differential equations.

r-cran-ecodist
GNU R package for dissimilarity-based ecological analysis
Maintainer: Dirk Eddelbuettel
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The ecodist package provides dissimilarity-based analysis functions including ordination and Mantel test functions, intended for use with spatial and community data.

r-cran-effects
GNU R graphical and tabular effects display for glm models
Maintainer: Dirk Eddelbuettel
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This package provides functions for 'effect' displays: Graphical and tabular effect displays, e.g., of interactions, for linear generalized linear, multinomial-logit, and proportional-odds logit models.

An earlier version was described in the article by Fox (2003) in the Journal of Statistical Software available at http://www.jstatsoft.org/v08/i15/

r-cran-elliptic
GNU R package providing elliptic and related functions
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The elliptic package is a GNU R package providing a suite of elliptic and related functions including Weierstrass and Jacobi forms. Also includes various tools for manipulating and visualizing complex functions.

r-cran-energy
GNU R package for energy statistics for distribution comparison
Maintainer: Dirk Eddelbuettel
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The energy package implements E-statistics (energy) tests and statistics for comparing distributions: multivariate normality, multivariate distance components and k-sample test for equal distributions, hierarchical clustering by e-distances, multivariate independence tests, distance correlation, goodness-of-fit tests. Energy-statistics concept based on a generalization of Newton's potential energy is due to Gabor J. Szekely.

r-cran-erm
GNU R package for 'extended Rasch modelling'
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eRm fits Rasch models (RM), linear logistic test models (LLTM), rating scale model (RSM), linear rating scale models (LRSM), partial credit models (PCM), and linear partial credit models (LPCM). Missing values are allowed in the data matrix. Additional features are the ML estimation of the person parameters, Andersen's LR-test, item-specific Wald test, itemfit and personfit statistics including infit and outfit measures, various ICC and related plots, automated stepwise item elimination, simulation module for various binary data matrices. An eRm platform is provided at R-forge (see URL).

r-cran-estimability
GNU R package providing tools for determining estimability of linear functions
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The estimability package is a GNU R package providing tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly.

r-cran-expm
GNU R - Berechnung der Matrix-Exponentialfunktion und verwandter Funktionen
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Dieses GNU-R-Paket ermöglicht die Berechnung der Matrix-Exponentialfunktion und verwandter Funktionen.

Please cite: Christopher H. Jackson: Multi-State Models for Panel Data: The msm Package for R. Journal of Statistical Software 38(8):1-29 (2011)
r-cran-fastcluster
Fast hierarchical clustering routines for GNU R
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Fastcluster implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: “linkage” in the SciPy package “scipy.cluster.hierarchy”, “hclust” in R's “stats” package, and the “flashClust” package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the Python files, see the file INSTALL in the source distribution.

Please cite: Daniel Müllner: fastcluster: Fast Hierarchical, Agglomerative Clustering Routines for R and Python. (eprint) Journal of Statistical Software 53(9):1-18 (2013)
r-cran-fbasics
GNU-R-Paket für »Financial Engineering« -- fBasics
Maintainer: Dirk Eddelbuettel
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Dieses Paket mit Funktionen zum »Financial Engineering« und zur Finanzinformatik ist ein Teil von Rmetrics, einer Sammlung von Paketen die von Diethelm Würtz geschrieben und zusammengetragen wurde.

fBasics stellt grundlegende statistische Tests, Verteilungen und weitere Werkzeuge zur Verfügung, die von vielen der Rmetric-Pakete genutzt werden.

r-cran-fcopulae
GNU R package for financial engineering -- fCopulae
Maintainer: Dirk Eddelbuettel
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This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz.

fCopulae provides functions for (nonlinear) dependence structure modelling.

r-cran-fextremes
GNU R package for financial engineering -- fExtremes
Maintainer: Dirk Eddelbuettel
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This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz.

fExtremes provides functions to analyze extreme values.

r-cran-fmultivar
GNU R package for financial engineering -- fMultivar
Maintainer: Dirk Eddelbuettel
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This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz.

fMultivar provides multivariate analysis for financial time series.

r-cran-foptions
GNU R package for financial engineering -- fOptions
Maintainer: Dirk Eddelbuettel
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This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz.

fOptions provides functions to price and hedge plain and exotic options on one or several assets.

r-cran-foreign
GNU-R-Paket zum Lesen/Schreiben von anderen Statistiksystemen
Maintainer: Dirk Eddelbuettel
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Dieses Paket bietet Funktionen für das Lesen und Schreiben von Daten, die von anderen Statistikpaketen wie Minitab, S, SAS, SPSS, Stata, … gespeichert wurden.

Dieses Paket ist Teil des Satzes der Pakete, die von »R Core« empfohlen werden und wird mit Original-Quellcode-Releases von R verteilt.

r-cran-fportfolio
GNU-R-Paket für »Financial Engineering« -- fPortfolio
Maintainer: Dirk Eddelbuettel
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Dieses Paket mit Funktionen zum »Financial Engineering« und zur Finanzinformatik ist ein Teil von Rmetrics, einer Sammlung von Paketen, die von Diethelm Würtz geschrieben und zusammengetragen wurde.

FPortfolio bietet Funktionen für die Modellierung des Wertes von Depots und Anlagegegenständen, Inanspruchnahme-Statistiken, Wert im Risiko (Value at Risk, VaR) und Markowitz-Portfolio-Konstruktion.

r-cran-gam
Generalized Additive Models for R
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Functions for fitting and working with generalized additive models, as described in chapter 7 of “Statistical Models in S” (Chambers and Hastie (eds), 1991), and “Generalized Additive Models” (Hastie and Tibshirani, 1990).

r-cran-gdata
GNU-R-Paket mit Werkzeugen zur Datenmanipulation von Greg Warnes et al.
Maintainer: Dirk Eddelbuettel
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Dieses Paket von R-Programmierwerkzeugen wurde von Gregory Warnes mit Code-Beiträgen von Ben Bolker und Thomas Lumley geschrieben.

Dieses Paket war Teil des »gregmisc«-Bündels, das als r-cran-gregmisc für Debian paketiert ist.

r-cran-geepack
Generalized Estimating Equation Package for R
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Generalized estimating equations solver for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can also handle clustered categorical responses.

r-cran-ggplot2
Implementierung der »Grammar of Graphics«
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ggplot2 kombiniert die Vorteile von Basis- und Gittergrafik. Konditionierung und gemeinsame Achsen werden automatisch gehandhabt. Trotzdem können Sie Schritt für Schritt einen Plot aus mehreren Datenquellen erstellen. ggplot2 implementiert auch ein ausgeklügeltes mehrdimensionales Konditionierungssystem und eine konsistente Schnittstelle, um Daten ästhetischen Attributen zuzuordnen.

Please cite: Hadley Wickham: Link to publication (2009)
r-cran-glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
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Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper Introduction to Glmnet.

r-cran-gmodels
GNU R package with tools for model fitting by Greg Warnes et al
Maintainer: Dirk Eddelbuettel
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This package of R programming tools for model fitting was written by Gregory Warnes with code contributions by Ben Bolker and Thomas Lumley.

This package used to be part of the gregmisc bundle packaged for Debian as r-cran-gregmisc.

r-cran-goftest
GNU R Classical Goodness-of-Fit Tests for Univariate Distributions
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This R package provides Cramer-Von Mises and Anderson-Darling tests of goodness-of-fit for continuous univariate distributions, using efficient algorithms.

r-cran-gplots
GNU R package with tools for plotting data by Greg Warnes et al
Maintainer: Dirk Eddelbuettel
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This package of R programming tools for plotting data was written by Gregory Warnes with code contributions by Ben Bolker and Thomas Lumley.

This package used to be part of the gregmisc bundle packaged for Debian as r-cran-gregmisc.

r-cran-gregmisc
GNU R package with miscellaneous functions by Greg Warnes et al
Maintainer: Dirk Eddelbuettel
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This package of miscellaneous functions for GNU R that written by Gregory Warnes with code contributions by Ben Bolker, Bendix Carstensen, Don MacQueen, William Venables, Marc Schwartz, Ben Bolker, Ian Wilson, Kjetil Halvorsen, Arni Magnusson, Lodewijk Bonebakker, and others.

Most of the function in the gregmisc library fall into six general areas: permutations and combinations, tools for linear models, plots, data manipulation, and fixed or extended versions of existing functions.

Note that as of version 2.0.8, gregmisc's code is now provided by the new packages gdata, gmodels, gplots and gtools which contain all the code formerly provided by gregmisc. Unless any of your R code still loads the gregmisc package directly, and you thus need it to load the component packages, you can remove this package.

r-cran-gtools
GNU R package with R programming tools by Greg Warnes et al
Maintainer: Dirk Eddelbuettel
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This package of R programming tools was written by Gregory Warnes with code contributions by Ben Bolker and Thomas Lumley.

This package used to be part of the gregmisc bundle packaged for Debian as r-cran-gregmisc.

r-cran-hdf5
GNU R package interfacing the NCSA HDF5 library
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This package provides the functions hdf5save and hdf5load which allow saving and loading of R variables in the Hierarchical Data Format (HDF) format. Lists, strings, vectors, matrices and higher-dimensional arrays are supported.

r-cran-hmisc
Verschiedene Funktionen für GNU R von Frank Harrell
Maintainer: Dirk Eddelbuettel
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Die Hmisc Bibliothek beinhaltet viele Funktionen die nützlich sind für Datenanalyse, High-Level Grafiken, Werkzeug Operationen, Funktionen zum Berechnen von Grössen und Potenzen, Übersetzen von SAS Datensätzen, Ermittluing fehlender Werte, erweiterte Tabellenerstellung, Variablenclusterung, Manipulation von Zeichenketten, Konvertierung von S Objekten in LaTeX Code, Aufzeichnung von Variablen und Grundlagen für wiederholte Messdatenanalyse.

r-cran-hypergeo
GNU R package providing the Gaussian hypergeometric for complex numbers
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The r-cran-hypergeo package is a GNU R package providing the Gaussian hypergeometric function for complex numbers.

r-cran-its
GNU R package for handling irregular time series
Maintainer: Dirk Eddelbuettel
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This package contains an S4 class for handling irregular time series

r-cran-kernsmooth
GNU-R-Paket für Kernel-Regression und Dichteschätzung
Maintainer: Dirk Eddelbuettel
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Dieses Paket bietet Funktionen für »kernel smoothing« und Dichteschätzung nach M.P. Wand-und M.C. Jones, »Kernel Smoothing«, 1995.

Dieses Paket ist Teil des Satzes der Pakete, die von »R Core« empfohlen werden und wird mit den Original-Quelltexten von R selbst verteilt.

URL: http://www.maths.unsw.edu.au/~wand

r-cran-lattice
GNU-R-Paket für »Trellis«-Grafiken
Maintainer: Dirk Eddelbuettel
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Dieses Paket stellt Funktionen für »Trellis«-Grafiken bereit. »Trellis« ist ein Gerüst zur Datenvisualisierung und wurde an den Bell Labs von Rick Becker, Bill Cleveland et al. entwickelt, indem Ideen aus dem Buch »Visualizing Data« von Bill Cleveland aus dem Jahr 1993 ausgebaut wurden.

Dieses Paket ist Teil des Satzes der Pakete, die von »R Core« empfohlen werden und wird zusammen mit den Original-Quelltexten von R selbst verteilt.

r-cran-latticeextra
GNU R package of additional graphical displays based on lattice
Maintainer: Dirk Eddelbuettel
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This CRAN package provides generic functions and standard methods for trellis-based displays.

r-cran-lavaan
GNU R package for latent variable analysis -- lavaan
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This package supplies latent variable analysis for R. One can use lavaan to estimate a large variety of multivariate statistical models, including path analysis, confirmatory factor analysis, structural equation modeling and growth curve models.

r-cran-lhs
GNU R Latin Hypercube Samples
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This package provides a number of methods for creating and augmenting Latin Hypercube Samples.

Latin hypercube sampling (LHS) is a statistical method for generating a sample of plausible collections of parameter values from a multidimensional distribution. The sampling method is often used to construct computer experiments.

r-cran-lme4
GNU-R-Paket zur Anpassung linearer Mixed-Effects-Modelle
Maintainer: Dirk Eddelbuettel
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Dieses CRAN-Paket bietet S4-Klassen und -Methoden zum Anpassen und Untersuchen linearer Mixed-Effects-Modelle (auch als Mehrebenenmodelle, Paneldatenmodelle und mit mehreren weiteren Namen bezeichnet) und verallgemeinerter linearer Mixed-Effects-Modelle.

r-cran-lmtest
GNU R package for diagnostic checking in linear models
Maintainer: Dirk Eddelbuettel
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This package provides a collection of tests, data sets and examples for diagnostic checking in linear regression models.

r-cran-logspline
GNU R package providing routines for the logspline density estimation
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The logspline package provides routines for logspline density estimation based on the algorithm from Stone et. al. (1997).

r-cran-lsmeans
GNU R package providing least-squares means for various classes of models
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The r-cran-lsmeans package is a GNU R package to obtain least-squares means for many linear, generalized linear, and mixed models. Additionally it can compute contrasts or linear functions of least- squares means, and comparisons of slopes.

r-cran-mapdata
GNU R - Unterstützung für die Herstellung geografischer Karten (ergänzende Daten)
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Dieses Paket bietet Möglichkeiten zur einfachen Erstellung hochauflösender Karten auf der Grundlage von Datensätzen in der statistischen Rechenumgebung GNU R. Es enthält hochauflösende Kartendaten für die ganze Welt, zusammen mit Karten von China (einschließlich Provinzgrenzen) und einer Karte mit höherer Auflösung von Neuseeland und einer Reihe von nahe gelegenen pazifischen Inseln.

Das vorgeschlagene Paket r-cran-mapproj fügt Möglichkeiten zur Berechnung geografischer Projektionen hinzu, die von Kartenmachern verwendet werden, um die Ungenauigkeiten zu kompensieren, die der Projektion der Oberfläche eines Rotationsellipsoids auf eine zweidimensionale Ebene eigen sind.

r-cran-mapproj
GNU-R-Unterstützung für Kartennetzentwürfe von Kartendaten
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Dieses Paket bietet Möglichkeiten, um einfach Kartennetzentwürfe von Kartendaten basierend auf Datensätzen in der statistischen Berechnungsumgebung GNU R zu erstellen. Netzentwürfe werden von Kartenherstellern verwendet, um die Ungenauigkeiten auszugleichen, die beim Projizieren einer sphärischen Oberfläche auf eine zweidimensionale Ebene unausweichlich entstehen.

r-cran-maps
GNU R support for producing geographic maps
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This package provides facilities for easily producing maps based on data sets in the GNU R statistical computing environment.

The r-cran-maps package includes map data for the United States (including state and county-level maps), New Zealand, and a world map; additional maps (including a higher-resolution world map) are available in the suggested r-cran-mapdata package.

The suggested r-cran-mapproj package adds facilities for calculating geographic projections, which are used by mapmakers to compensate for the inaccuracies inherent in projecting a spheroid's surface onto a two-dimensional plane.

r-cran-maptree
GNU R mapping, pruning, and graphing tree models
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This GNU R package provides functions with example data for graphing, pruning, and mapping models from hierarchical clustering, and classification and regression trees.

r-cran-mass
GNU-R-Paket für MASS von Venables und Ripley
Maintainer: Dirk Eddelbuettel
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Das MASS-Paket bietet Funktionen und Datensätze zur Unterstützung des Buchs »Modern Applied Statistics with S« (4. Ausgabe) von W.N. Venables und B.D. Ripley. Die folgende URL weist zu weiteren Einzelheiten über das Buch:

 URL: http://www.stats.ox.ac.uk/pub/MASS4
The package is enhanced by the following packages: r-cran-pscl
r-cran-matchit
GNU R package of nonparametric matching methods
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MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods.

MatchIt implements a wide range of sophisticated matching methods, making it possible to greatly reduce the dependence of causal inferences on hard-to-justify, but commonly made, statistical modeling assumptions. The software also easily fits into existing research practices since, after preprocessing with MatchIt, researchers can use whatever parametric model they would have used without MatchIt, but produce inferences with substantially more robustness and less sensitivity to modeling assumptions. MatchIt is an R program, and also works seamlessly within Zelig.

r-cran-matrix
GNU R - Paket von Klassen für dicht und dünn besetzte Matrizen
Maintainer: Dirk Eddelbuettel
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Dieses CRAN-Paket bietet S4 Klassen und Methoden für numerische lineare Algebra mit dicht oder dünn besetzten Matrizen. Die Implementierung für dünn besetzte Matrizen verwendet Code aus den Paketen »LDL sparse matrix« und »metis«, einem Paket mit Partitionierungs-Algorithmen.

r-cran-mcmcpack
R routines for Markov chain Monte Carlo model estimation
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This is a set of routines for GNU R that implement various statistical and econometric models using Markov chain Monte Carlo (MCMC) estimation, which allows "solving" models that would otherwise be intractable with traditional techniques, particularly problems in Bayesian statistics (where one or more "priors" are used as part of the estimation procedure, instead of an assumption of ignorance about the "true" point estimates), although MCMC can also be used to solve frequentist statistical problems with uninformative priors. MCMC techniques are also preferable over direct estimation in the presence of missing data.

Currently implemented are a number of ecological inference (EI) routines (for estimating individual-level attributes or behavior from aggregate data, such as electoral returns or census results), as well as models for traditional linear panel and cross-sectional data, some visualization routines for EI diagnostics, two item-response theory (or ideal-point estimation) models, metric, ordinal, and mixed-response factor analysis, and models for Gaussian (linear) and Poisson regression, logistic regression (or logit), and binary and ordinal-response probit models.

The suggested packages (r-cran-bayesm, -eco, and -mnp) contain additional models that may also be useful for those interested in this package.

The package is enhanced by the following packages: r-cran-mcmc r-cran-mnp
r-cran-mgcv
»GNU R«-Paket für Multiple-Glättungsparameter-Schätzung
Maintainer: Dirk Eddelbuettel
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Dieses Paket stellt Funktionen für verallgemeinerte additive Modelle (GAMs, d.h. Generalized Additive Models) und andere verallgemeinerte Probleme der Ridge-Regression bereit, bei denen die Auswahl der multiplen Glättungsparameter durch GCV oder UGRE erfolgt. Es enthält eine Implementierung (keinen Klon) von gam().

Dieses Paket ist Teil des Satzes der Pakete, die von »R Core« empfohlen werden und wird mit Original-Quellcode-Releases von R ausgeliefert.

r-cran-misc3d
GNU R collection of 3d plot functions and rgl-based isosurfaces
Maintainer: Dirk Eddelbuettel
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This CRAN package provides a collection of miscellaneous 3d plots, including rgl-based isosurfaces:

 contour3d     Uses rgl to render isosurfaces, or three-dimensional
               contours, computed by the marching cubes algorithm.
 image3d       Crude 3d analog of image() using rgl to plot points on a
               three dimensional grid representing values in a three
               dimensional array. Assumes high values are inside and
               uses alpha blending to make outside points more
               transparent.
 lines3d       Draws connected line segments in an rgl window.
 parametric3d  Plots a two-parameter surface in three dimensions in
               rgl.  Based on Mathematica's Param3D
 slices3d      Uses tkrplot to create an interactive slice view of three or
               four dimensional volume data, such as MRI data.
r-cran-mnp
GNU R package for fitting multinomial probit (MNP) models
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MNP is an R package that fits Bayesian Multinomial Probit (MNP) models via Markov chain Monte Carlo (MCMC). Along with the standard multinomial probit model, it can also fit models with different choice sets for each observation and complete or partial ordering of all the available alternatives. The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2004).

r-cran-modelmetrics
GNU R Rapid Calculation of Model Metrics
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This GNU R package provides a collection of metrics for evaluating models written in C++ using 'Rcpp'.

r-cran-modeltools
GNU R package providing a collection of tools to deal with statistical models
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The r-cran-modeltools package is a GNU R package providing a collection of tools to deal with statistical models.

r-cran-msm
»GNU R«-Modelle Multi-State Markov und Hidden Markov in kontinuierlicher Zeit
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Funktionen zur Parameterbestimmung von generellen zeitkontinuierlichen und Hidden-Markov-Multi-State-Modellen zu längslaufenden Daten. Sowohl Übergangsraten in Markov-Modellen als auch der Hidden-Markov-Ausgabeprozess können modelliert werden, innerhalb der Gesetze der Zusatzwerte (covariates). Eine Auswahl von Beobachtungsschemata wird unterstützt, inklusive Beobachtung von Prozessen zu beliebigen Zeiten, vollständig überwachte Prozesse und zensierte Stadien.

Please cite: Christopher H. Jackson: Multi-State Models for Panel Data: The msm Package for R. Journal of Statistical Software 38(8):1-29 (2011)
r-cran-multcomp
GNU R package for multiple comparison procedures
Maintainer: Dirk Eddelbuettel
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This package provides functions to perform multiple comparison tests and simultaneous confidence intervals in one-way layout testing setups.

r-cran-mvnormtest
GNU R package for multivariate normality test
Maintainer: Dirk Eddelbuettel
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The mvnormtest package provides a generalization of the Shapiro-Wilk test for multivariate variables.

r-cran-mvtnorm
GNU R package to compute multivariate Normal and T distributions
Maintainer: Dirk Eddelbuettel
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This package provides a collection of functions to compute the multivariate Normal and T distributions.

r-cran-nlme
GNU-R-Paket für (nicht-)lineare gemischte Modelle
Maintainer: Dirk Eddelbuettel
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Dieses Paket stellt Funktionen zur Parameterbestimmung und zum Vergleich linearer und nichtlinearer gemischter Modelle bereit.

Dieses Paket ist Teil des Satzes der Pakete, die von »R Core« empfohlen werden und wird mit Original-Quellcode-Releases von R ausgeliefert.

r-cran-nmf
GNU-R-Rahmenwerk zur Faktorisierung nicht-negativer Matrizen
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Dieses Paket implementiert eine Reihe bereits veröffentlichter Algorithmen und »seeding«-Methoden. Es bietet einen Rahmen, um neue/angepasste Algorithmen zu testen, zu entwickeln und einzubinden. Die meisten der eingebauten Algorithmen wurden optimiert; die Haupt-Schnittstellenfunktion bietet parallele Berechnungen auf Multicore-Maschinen.

Please cite: Renaud Gaujoux and Cathal Seoighe: A flexible R package for nonnegative matrix factorization. (PubMed,eprint) BMC Bioinformatics 11(1):367 (2010)
r-cran-pbapply
GNU R package providing progress bars for vectorized R functions
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The r-cran-pbapply package is a GNU R package providing progress bars for vectorized R functions.

r-cran-pbivnorm
GNU R package for calculating probabilities from a bivariate normal CDF
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The r-cran-pbivnorm package is a GNU R package providing a vectorized R function for calculating probabilities from a standard bivariate normal CDF

r-cran-permute
R functions for generating restricted permutations of data
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Implements a set of restricted permutation designs for freely exchangeable, line transects (time series), and spatial grid designs plus permutation of blocks (groups of samples). ‘permute’ also allows split-plot designs, in which the whole-plots or split-plots or both can be freely-exchangeble or one of the restricted designs. The permute package is modelled after the permutation schemes of Canoco 3.1 by Cajo ter Braak.

r-cran-pscl
GNU R package for discrete data models
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This package consists of R functions developed at the Political Science Computational Laboratory at Stanford University; it currently includes models for count data (hurdle regression and zero-inflated negative binomial and Poisson models), ordinal probit and logit (also available in MASS via polr), and an item-response theory model. Also included are Vuong tests for non-nested hypothesis testing and convenience functions for handling roll-call vote matrices.

r-cran-psy
GNU-R-Prozeduren für die Psychometrie
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Dieses Paket enthält etliche Prozeduren, die in der Psychometrie und bei der Skalierung angewendet werden, unter anderem:

  • Cohens Kappa und gewichtetes Kappa (Test der Übereinstimmung von Einschätzungen zweier Beurteiler)
  • Cronbachs Alpha (ein Test der Itemreliabilität)
  • Fokussierte Hauptkomponentenanalyse
  • Intra-Klassen-Korrelationskoeffizienten
  • Lights Kappa (Test der Übereinstimmung von Einschätzungen von n Beurteilern)
  • Screeplots und grafische Darstellungen von Hauptkomponenten
r-cran-qtl
GNU R package for genetic marker linkage analysis
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R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental crosses. It is implemented as an add-on-package for the freely available and widely used statistical language/software R (see http://www.r-project.org).

The development of this software as an add-on to R allows one to take advantage of the basic mathematical and statistical functions, and powerful graphics capabilities, that are provided with R. Further, the user will benefit by the seamless integration of the QTL mapping software into a general statistical analysis program. The goal is to make complex QTL mapping methods widely accessible and allow users to focus on modeling rather than computing.

A key component of computational methods for QTL mapping is the hidden Markov model (HMM) technology for dealing with missing genotype data. The main HMM algorithms, with allowance for the presence of genotyping errors, for backcrosses, intercrosses, and phase-known four-way crosses were implemented.

The current version of R/qtl includes facilities for estimating genetic maps, identifying genotyping errors, and performing single-QTL genome scans and two-QTL, two-dimensional genome scans, by interval mapping (with the EM algorithm), Haley-Knott regression, and multiple imputation. All of this may be done in the presence of covariates (such as sex, age or treatment). One may also fit higher-order QTL models by multiple imputation.

Please cite: Karl W. Broman, Hao Wu, Saunak Sen and Gary A. Churchill: R/qtl: QTL mapping in experimental crosses. (PubMed,eprint) Bioinformatics 19:889-890 (2003)
Registry entries: Bio.tools  SciCrunch  Bioconda 
r-cran-quadprog
GNU R package for solving quadratic programming problems
Maintainer: Dirk Eddelbuettel
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This CRAN package provides functions and documentation for solving quadratic programming problems in GNU R.

r-cran-qvcalc
GNU R quasi variances for factor effects in statistical models
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This GNU R package provides functions to compute quasi variances and associated measures of approximation error in statistical models.

r-cran-randomfieldsutils
??? missing short description for package r-cran-randomfieldsutils :-(
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r-cran-raschsampler
GNU R package for sampling binary matrices with fixed margins
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This package implements an MCMC algorithm for sampling of binary matrices with fixed margins complying to the Rasch model. Its stationary distribution is uniform. The algorithm also allows for square matrices with fixed diagonal.

r-cran-rcmdr
GNU R - plattformunabhängige, einfache, grafische Statistik-Oberfläche
Maintainer: Dirk Eddelbuettel
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Dieses Paket stellt eine einfache, auf der GNU-Tcl/Tk-Schnittstelle aufbauende, Oberfläche zur Verfügung. Sie ist für einführenden Statistikunterricht geeignet.

r-cran-relimp
GNU R package for inference on relative importance of regressors
Maintainer: Dirk Eddelbuettel
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This package provides functions to facilitate inference on the relative importance of predictors in a linear or generalized linear model.

r-cran-reshape2
Flexibly reshape data: a reboot of the reshape package
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Reshape lets you flexibly restructure and aggregate data using just two functions: melt and cast.

Reshape (hopefully) makes it easy to do what you have been struggling to do with tapply, by, aggregate, xtabs, apply and summarise. It is also useful for getting your data into the correct structure for lattice or ggplot plots.

r-cran-rggobi
GNU R package for the GGobi data visualization system
Maintainer: Dirk Eddelbuettel
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This Debian package contains the R package for access to the ggobi data visualization system for high-dimensional data from within GNU R.

See http://www.ggobi.org/rggobi for rggobi, http://www.ggobi.org/ggobi and http://www.r-project.org for GNU R.

r-cran-rgl
GNU-R-Paket für 3D-Visualisierung mittels OpenGL
Maintainer: Dirk Eddelbuettel
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Die von diesem Paket bereitgestellten Funktionen implementieren ein neues »Grafik-Gerät«, mit dem GNU-R-Objekte dreidimensional mittels der OpenGL-Bibliotheken visualisiert werden können.

r-cran-rgtk2
GNU R binding for Gtk2
Maintainer: Dirk Eddelbuettel
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This package provides facilities in the S language (i.e. the language which GNU R provides) for programming graphical interfaces using Gtk, the GNOME GUI toolkit.

This package extends and updates the previous r-omegahat-rgtk package to the 2.8 release of the Gtk libraries.

r-cran-rinside
GNU R package to embed R in C++ application
Maintainer: Dirk Eddelbuettel
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The 'RInside' packages makes it easier to have "R inside" your C++ application by providing a C++ wrapper class providing the R interpreter.

As R itself is embedded into your application, a shared library build of R is required. This works on Linux, OS X and even on Windows provided you use the same tools used to build R itself.

Numerous examples are provided in the eight subdirectories of the examples/ directory of the installed package: standard, mpi (for parallel computing) qt (showing how to embed 'RInside' inside a Qt GUI application), wt (showing how to build a "web-application" using the Wt toolkit), armadillo (for 'RInside' use with 'RcppArmadillo') and eigen (for 'RInside' use with 'RcppEigen'). The example use GNUmakefile(s) with GNU extensions, so a GNU make is required (and will use the GNUmakefile automatically).

Doxygen-generated documentation of the C++ classes is available at the 'RInside' website as well.

r-cran-rmpi
GNU R package interfacing MPI libraries for distributed computing
Maintainer: Dirk Eddelbuettel
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This CRAN package provides an interface to the MPI (Message-Passing Interface) API. It also provides an interactive R slave environment in which distributed statistical computing can be carried out.

r-cran-rms
GNU R regression modeling strategies by Frank Harrell
Maintainer: Dirk Eddelbuettel
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Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression model, but it was especially written to work with binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.

See Frank Harrell (2001), Regression Modeling Strategies, Springer Series in Statistics, as well as http://biostat.mc.vanderbilt.edu/Rrms.

r-cran-rmysql
GNU R package providing a DBI-compliant interface to MySQL
Maintainer: Dirk Eddelbuettel
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The package implements access to MySQL databases via the DBI interface of R.

r-cran-rodbc
GNU R-Paket für ODBC-Datenbankzugriff
Maintainer: Dirk Eddelbuettel
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Dieses CRAN-Paket bietet Zugriff auf jede über »Open DataBase Connectivity« (ODBC) zugängliche Datenbank.

Das Paket ist plattformunabhängig und ermöglicht Zugriff auf jede Datenbank, für die ein Treiber existiert. Es wurde getestet mit MySQL und PostgreSQL unter Linux und Windows (und auf diese Datenbanken auf Linux-Rechnern von R unter Windows), Microsoft Access, SQL Server und Excel-Tabellen (nur lesend), und Anwender berichten über erfolgreiche Verbindungen zu Oracle und DBase.

Die Benutzung ist im »R Data Import/Export Manual« beschrieben (enthalten in den Paketen r-doc-pdf, r-doc-html und r-doc-info).

r-cran-rpart
GNU-R-Paket für rekursive Partionierung und Regressionsbäume
Maintainer: Dirk Eddelbuettel
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Dieses Paket bietet Funktionen für rekursive Partionierung und Regressionsbäume.

Dieses Paket ist Teil des Satzes der Pakete, die von »R Core« empfohlen werden und wird zusammen mit den Original-Quelltexten von R selbst verteilt.

URL (des S-Plus-Originals): http://www.mayo.edu/hsr/Sfunc.html

r-cran-rquantlib
GNU R package interfacing the QuantLib finance library
Maintainer: Dirk Eddelbuettel
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This CRAN package provides an interface for GNU R to the QuantLib library for modeling, trading, and risk management of financial assets.

r-cran-rsdmx
GNU R package for the Statistical Data and Metadata Exchange (SDMX) framework
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This package provides a set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML).

SDMX is an initiative to foster standards for the exchange of statistical information. It is sponsored by several major providers of statistical information: the Bank for International Settlements, the European Central Bank, Eurostat (the statistical office of the European Union), the International Monetary Fund (IMF), the Organisation for Economic Co-operation and Development (OECD), the United Nations Statistics Division, the United Nations Educational, Scientific and Cultural Organization and the World Bank.

The package can therefore be used to download statistical information from the servers of those organizations, and from those of several other institutions.

r-cran-rserve
GNU R Rserve tcp/ip server and sample clients
Maintainer: Dirk Eddelbuettel
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This package provide Rserve, a headless server for GNU R. Rserve acts as a socket server (TCP/IP or local sockets) which allows binary requests to be sent to R. Every connection has a separate workspace and working directory. Client-side implementations are available for popular languages such as C/C++ and Java, allowing any application to use facilities of R without the need of linking to R code. Rserve supports remote connection, user authentication and file transfer. A simple R client is included in this package as well.

URL: http://www.rosuda.org/Rserve/

r-cran-rsprng
GNU R interface to SPRNG (Scalable Parallel RNGs)
Maintainer: Dirk Eddelbuettel
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This package provides an interface to the SPRNG (Scalable Parallel Random Number Generator) library API, along with examples and documentation.

r-cran-sandwich
GNU R package for model-robust standard error estimates
Maintainer: Dirk Eddelbuettel
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This package contains model-robust standard error estimators for time series and longitudinal data.

r-cran-sem
GNU R functions for fitting structural equation models -- sem
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GNU R package supplying functions for fitting general linear structural equation models (with observed and latent variables) using the RAM approach, and for fitting structural equations in observed-variable models by two-stage least squares.

r-cran-sm
GNU R package for kernel smoothing methods
Maintainer: Dirk Eddelbuettel
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This CRAN package provides functions and documentation for kernel smoothing methods for GNU R. The functions are described in the book "Applied Smoothing Techniques for Data Analysis: The kernel approach with S-Plus illustrations" by Adrian W. Bowman & Adelchi Azzalini, Oxford UP, 1997.

r-cran-snow
GNU-R-Paket für ein »Einfaches Netzwerk von Arbeitsplatzrechnern«
Maintainer: Dirk Eddelbuettel
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Dieses Paket enthält des »einfache Netz von Arbeitsplatzrechnern« (simple network of workstations, SNOW), ein einfach zu bedienendes System für parallele Berechnungen mit GNU R.

r-cran-spam
GNU R functions for sparse matrix algebra
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Set of functions for sparse matrix algebra. Differences with SparseM/Matrix are:

 1. only (essentially) one sparse matrix format supported,
 2. based on transparent and simple structure(s),
 3. tailored for MCMC calculations within GMRF.
 4. S3 and S4 like-"compatible"
Please cite: Reinhard Furrer and Stephan R. Sain: spam: A Sparse Matrix R Package with Emphasis on MCMC Methods for Gaussian Markov Random Fields. (eprint) Journal of Statistical Software 36(10):1-25 (2010)
r-cran-spatstat
GNU R Spatial Point Pattern analysis, model-fitting, simulation, tests
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A GNU R package for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Contains functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, and pixel images. Point process models can be fitted to point pattern data. Cluster type models are fitted by the method of minimum contrast. Very general Gibbs point process models can be fitted to point pattern data using a function ppm similar to lm or glm. Models may include dependence on covariates, interpoint interaction and dependence on marks. Fitted models can be simulated automatically. Also provides facilities for formal inference (such as chi-squared tests) and model diagnostics (including simulation envelopes, residuals, residual plots and Q-Q plots).

Please cite: Adrian Baddeley and Rolf Turner: Spatstat: an {R} package for analyzing spatial point patterns. Journal of Statistical Software 12(6):1-42 (2005)
r-cran-statmod
GNU R package providing algorithms and functions for statistical modeling
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This R package provides a collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes a number of advanced generalized linear model functions including new Tweedie and Digamma glm families and a secure convergence algorithm.

r-cran-strucchange
GNU R package for structural change regression estimation
Maintainer: Dirk Eddelbuettel
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This package functions for testing, dating and monitoring of structural change in linear regression relationships. The strucchange package features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g., CUSUM, MOSUM, recursive/moving estimates) and F statistics, respectively. It is possible to monitor incoming data online using fluctuation processes.

Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals. Emphasis is always given to methods for visualizing the data.

r-cran-survival
GNU-R-Paket für Ereigniszeitanalysen
Maintainer: Dirk Eddelbuettel
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Dieses Paket enthält Funktionen und Datensätze für Ereigniszeitanalysen: deskriptive Statistik, Zweistichproben-Tests, parametrische AFT-Modelle (»accelerated failure time model«), Cox-Regression. »Delayed entry« (Trunkation) ist für alle Modelle erlaubt, intervall-zensierte Daten für parametrische Modelle.

Dieses Paket ist Teil des Satzes der Pakete, die von »R Core« empfohlen werden und wird mit Original-Quellcode-Releases von R ausgeliefert.

r-cran-teachingdemos
GNU R Demonstrations for teaching and learning
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This package is a set of demonstration functions that can be used in a classroom to demonstrate statistical concepts, or on your own to better understand the concepts or the programming.

r-cran-timedate
GNU R package for financial engineering -- timeDate
Maintainer: Dirk Eddelbuettel
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This package provides functions for chronological and calendarical objects and is part of Rmetrics, a collection of packages for financial engineering and computational finance written and compiled by Diethelm Wuertz and others.

timeDate provides functions for chronological and calendarical objects.

r-cran-tkrplot
GNU R embedded Tk plotting device Paket
Maintainer: Dirk Eddelbuettel
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Dieses CRAN Paket stellt ein Tk graphics device zur Verfügung welches Ihnen erlaubt GNU R plot() Ergebnisse in Tk Widgets einzubinden.

r-cran-tseries
GNU R - Paket für Zeitreihenanalyse und Finanzmathematik
Maintainer: Dirk Eddelbuettel
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Dieses CRAN-Paket bietet zusätzliche Funktionen zur Zeitreihenanalyse sowie verschiedene Routinen für die Finanzmathematik.

r-cran-vcd
GNU R Visualizing Categorical Data
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Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was inspired by the book "Visualizing Categorical Data" by Michael Friendly.

Please cite: David Meyer, Achim Zeileis and Kurt Hornik: The Strucplot Framework: Visualizing Multi-Way Contingency Tables with vcd. (eprint) Journal of Statistical Software 17(3):1-48 (2006)
r-cran-vcdextra
GNU R package providing extensions and additions to the vcd package
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The vcdExtra package is a GNU R package providing additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data and the 'gnm' package for Generalized Nonlinear Models. In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of 'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer.

r-cran-vgam
GNU R package for estimating vector generalized additive models
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This package implements a variety of functions for estimating vector generalized additive models (VGAMs), as well as vector generalized linear models (VGLMs), reduced-rank VGLMs, and quadratic reduced-rank VGLMs.

Specific models that can be fit include a wide variety of categorical-response models (with nominal and ordinal dependent variables), bivariate binary-response models (bivariate logit/probit), and seemingly-unrelated regressions. The package also includes a number of standard and non-standard distribution functions of use to statisticians.

r-cran-xml
GNU R package for XML parsing and generation
Maintainer: Dirk Eddelbuettel
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This package provides facilities for the R language to

  • parse XML files, URLs and strings, using either the DOM (Document Object Model)/tree-based approach, or the event-driven SAX (Simple API for XML) mechanism;
  • generate XML content to buffers, files, URLs, and internal XML trees;
  • read DTDs as R objects.
r-cran-zelig
GNU R package providing a unified front-end for estimating statistical models
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With thousands of contributors who have written hundreds of packaged routines, R can deal with nearly any statistical problem. Although this high level of participation may be its greatest strength, the enormous diversity in approaches to statistical inference covered by R often results in a virtual babel of competing functions and inconsistent syntax.

To address these problems from a common perspective, the upstream authors have created Zelig, a single, easy-to-use program, with a unified framework and syntax, that can estimate, help interpret, and present the results of a large range of statistical methods. It literally is "everyone's statistical software" because Zelig uses R code from many researchers. They also hope it will become "everyone's statistical software" for applications, and they have designed it so that anyone can use it or add their methods to it. Zelig comes with detailed, self-contained documentation that minimizes startup costs for Zelig and R, automates graphics and summaries for all models, and, with only three simple commands required, generally makes the power of R accessible for all users. Zelig also works well for teaching, and is designed so that scholars can use the same program they use for their research.

The package is enhanced by the following packages: r-cran-vgam
r-cran-zoo
GNU R package for totally ordered indexed observations
Maintainer: Dirk Eddelbuettel
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This package contains an S4 class with methods for totally ordered indexed observations such as irregular time series.

r-recommended
»GNU R«-Sammlung von empfohlenen Paketen [Metapaket]
Maintainer: Dirk Eddelbuettel
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R ist ein System für statistische Berechnungen und Grafiken. Es besteht aus einer Sprache mit grafischer Laufzeitumgebung und einem Debugger. Der Zugriff auf bestimmte Systemfunktionen und die Ausführung von Skriptdateien ist möglich.

Der Entwurf von R wurde stark von zwei existierenden Sprachen beeinflusst: S von Becker, Chambers & Wilks und Scheme von Sussman. Während die resultierende Sprache ein S ähnelndes Aussehen hat, stammt die Semantik und die interne Implementierung von Scheme ab.

Der Kern von R ist eine interpretierte Programmiersprache, die Verzweigungen und Schleifen sowie modulare Programmierung unter Verwendung von Funktionen ermöglicht. Die meisten dem Anwender zugänglichen Funktionen von R sind in R geschrieben. Der Anwender kann zur Effizienzsteigerung in den Sprachen C, C++ oder Fortran geschriebene Funktionen einsetzen, was auch viele Grundfunktionen von R ausnutzen. Die R-Distribution enthält Funktionalitäten für eine große Zahl statistischer Verfahren und die zugrunde liegenden mathematischen Berechnungen. Es gibt auch eine Vielzahl von Funktionen, die zusammen eine flexible grafische Umgebung für die Erzeugung vielfältiger grafischer Darstellungen bilden.

Zusätzlich sind mehrere tausend Erweiterungs-»Pakete« beim Comprehensive R Archive Network (CRAN) verfügbar. Viele von ihnen sind auch als Debian-Pakete verfügbar, deren Namen dem Schema »r-cran-« folgen.

Dieses Paket ist nun ein Metapaket, welches von einem Satz von Paketen abhängt, welche vom R-Core-Entwicklerteam als Teil einer vollständigen R-Distribution empfohlen werden und zusammen mit dem Quelltext von R, genauso wie direkt über das CRAN-Spiegel-Netzwerk verteilt werden. Dieser Satz enthält die folgenden Pakete (nach ihren ursprünglichen Namen sortiert):

  • KernSmooth: Funktionen zum »kernel smoothing« nach Wand & Jones (1995)
  • Matrix: Klassen, Methoden und Funktionen für dicht- und dünnbesetzte Matrizen, unter Verwendung von Lapack und SuiteSparse
  • MASS, class, nnet und spatial: Pakete aus dem Buch »Modern Applied Statistics with S« (vierte Auflage) von Venables und Ripley,
  • boot: Bootstrap-Functionen für R (S-Plus) aus dem Buch »Bootstrap Methods and Their Applications« von A.C. Davison und D.V. Hinkley (1997).
  • cluster: Funktionen zum Clustering (von Rousseuw et al.)
  • codetools: Werkzeuge zur Codeanalyse für R
  • foreign: von Minitab, S, SAS, SPSS, Stata ... abgespeicherte Daten lesen
  • lattice: Implementierung von Trellis-Grafiken für R
  • mgcv: Multiple-Glättungsparameter-Schätzung und GAMs (verallgemeinerte adaptive Modelle) per GCV (verallgemeinerte Kreuzvalidierung)
  • nlme: Lineare und nichtlineare Gemischte-Effekte-Modelle
  • rpart: Rekursive Partitionierung und Regressionsbäume
  • survival: Survival-Analyse, einschließlich Penalized-Likelihood.
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rkward
KDE-Frontend für die Statistiksprache R
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Rkward zielt darauf ab, eine einfach bedienbare, transparente Oberfläche für R zu werden. R ist ein leistungsfähiges System für statistische Berechnungen und Grafiken. Neben einer komfortablen grafischen Oberfläche für die wichtigsten statistischen Funktionen werden zukünftige Versionen auch die nahtlose Einpassung in eine Office-Suite bieten.

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libapophenia2-dev
Apophenia Statistical C Library -- development package
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The Apophenia Statistical C Library is an open source C library for working with data sets and statistical models. It provides functions on the same level as those of the typical stats packages (such as OLS, probit, or singular value decomposition) but gives the user more flexibility to be creative in model-building.

Apophenia is meant to scale well, to comfortably work with gigabyte data sets, million-step simulations, or computationally-intensive agent-based models.

Apophenia builds upon the GNU Scientific and SQLite libraries, MySQL/mariaDB is also supported. The core functions are written in C, but experience has shown them to be easy to bind in Python, Julia, Perl, Ruby, etc. The source code is distributed under the GNU General Public License version 2 (GPL2).

This package contains the header files, static libraries and symbolic links that developers using the Apophenia Statistical C Library will need.

libicb-utils-java
Java library of utilities to manage files and compute statistics
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icb-utils is a group of tools originally designed by the Campagne laboratory for computational biomedicine software. They include extensions of standard Java to manage io, extended iterator classes, hashtables, network-related classes, as well as a set of classes allowing for the computation of statistics.

libtamuanova-dev
Development files for the TAMU ANOVA library
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devellibrary
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C library for single and two factor ANOVA.

This package contains the header and development files for the tamuanova library.

node-shiny-server-client
browser library for connecting to Shiny Server
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This Node.js package provides unified client code for Shiny Server, Shiny Server Pro, and RStudio Connect. Previously, each server product had its own version of this code with slight differences. This package provides the superset of functionality needed by the different products, and runtime options determine what features to enable.

Node.js is an event-based server-side JavaScript engine.

python3-leidenalg
Python3 implementation of the Leiden algorithm in C++
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This package implements the Leiden algorithm in C++ and exposes it to Python. It relies on igraph for it to function. Besides the relative flexibility of the implementation, it also scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The core function is find_partition which finds the optimal partition using the Leiden algorithm, which is an extension of the Louvain algorithm for a number of different methods. The methods currently implemented are

 1. modularity,
 2. Reichardt and Bornholdt's model using the configuration null model
    and the Erdös-Rényi null model,
 3. the Constant Potts model (CPM),
 4. Significance and finally
 5. Surprise.

In addition, it supports multiplex partition optimisation allowing community detection on for example negative links or multiple time slices. There is the possibility of only partially optimising a partition, so that some community assignments remain fixed. It also provides some support for community detection on bipartite graphs.

Please cite: V. A. Traag, L. Waltman and N.-J. Van Eck: From Louvain to Leiden: guaranteeing well-connected communities. (eprint) Scientific reports 9(1):5233 (2018)
python3-pynndescent
nearest neighbor descent for approximate nearest neighbors
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PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors. It provides a Python implementation of Nearest Neighbor Descent for k-neighbor-graph construction and approximate nearest neighbor search, as per the paper:

Dong, Wei, Charikar Moses, and Kai Li. "Efficient k-nearest neighbor graph construction for generic similarity measures." Proceedings of the 20th international conference on World wide web. ACM, 2011.

This library supplements that approach with the use of random projection trees for initialisation. This can be particularly useful for the metrics that are amenable to such approaches (euclidean, minkowski, angular, cosine, etc.). Graph diversification is also performed, pruning the longest edges of any triangles in the graph.

Currently this library targets relatively high accuracy (80%-100% accuracy rate) approximate nearest neighbor searches.

r-cran-bbmle
GNU R tools for general maximum likelihood estimation
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This GNU R package provides methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.

r-cran-blockmodeling
Generalized and classical blockmodeling of valued networks
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This R package is primarly meant as an implementation of Generalized blockmodeling for valued networks. In addition, measurese of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithm) can be computed and partitioned matrices can be ploted.

Please cite: Aleš Žiberna: Blockmodeling of multilevel networks. (eprint) Social Networks 39:46 - 61 (2014)
r-cran-brglm
GNU R package for bias reduction in binomial-response GLMs
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Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.

r-cran-catools
GNU R package providing various utility functions
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The packages features several basic utility functions including: moving (rolling, running) window statistic functions, read/write for GIF and ENVI binary files, fast calculation of AUC, LogitBoost classifier, base64 encoder/decoder, round-off error free sum and cumsum, etc.

This package of R programming tools for plotting data was written by Jarek Tuszynski.

r-cran-ellipse
GNU R functions for drawing ellipses and ellipse-like confidence regions
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This package contains various routines for drawing ellipses and ellipse- like confidence regions, implementing the plots described in Murdoch and Chow (1996). There are also routines implementing the profile plots described in Bates and Watts (1988), Nonlinear Regression Analysis and its Applications.

Please cite: D. J. Murdocha and E. D. Chowa: A Graphical Display of Large Correlation Matrices. The American Statistician 50(2):178-180 (1996)
r-cran-fastmatch
GNU R package for fast match replacement for repeated look-ups
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This R package provides a fast match replacement for cases that require repeated look-ups. Extremely fast after the first lookup match as it keeps the hash table in memory.

r-cran-futile.logger
logging utility for GNU R
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This GNU R package provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for cat and print statements.

r-cran-futile.options
GNU R futile options management
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This GNU R package provides a scoped options management framework.

r-cran-gnm
GNU R package for generalized nonlinear models
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Functions to specify and fit generalized nonlinear models, including models with multiplicative interaction terms such as the UNIDIFF model from sociology and the AMMI model from crop science, and many others. Over-parameterized representations of models are used throughout; functions are provided for inference on estimable parameter combinations, as well as standard methods for diagnostics etc.

r-cran-igraph
GNU R network analysis and visualization
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This GNU R package provides routines for simple graphs and network analysis. igraph can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality indices and much more.

r-cran-irlba
GNU R fast truncated SVD, PCA and symmetric eigendecomposition
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This GNU R package provides Fast and memory efficient methods for truncated singular and eigenvalue decompositions and principal component analysis of large sparse or dense matrices.

r-cran-lambda.r
GNU R modeling data with functional programming
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This GNU R package provides a language extension to efficiently write functional programs in R. Syntax extensions include multi-part function definitions, pattern matching, guard statements, built-in (optional) type safety.

r-cran-luminescence
GNU R comprehensive luminescence dating data analysis
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A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.

r-cran-magrittr
GNU R forward-pipe operator
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Provides a mechanism for chaining commands with a new forward-pipe operator, %>%. This operator will forward a value, or the result of an expression, into the next function call/expression. There is flexible support for the type of right-hand side expressions.

r-cran-minpack.lm
GNU R Levenberg-Marquardt nonlinear least-squares algorithm found in MINPACK
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The nls.lm function provides an R interface to lmder and lmdif from the MINPACK library, for solving nonlinear least-squares problems by a modification of the Levenberg-Marquardt algorithm, with support for lower and upper parameter bounds. The implementation can be used via nls- like calls using the nlsLM function.

r-cran-mlmrev
GNU R Examples from Multilevel Modelling Software Review
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This GNU R package provides data and examples from a multilevel modelling software review as well as other well-known data sets from the multilevel modelling literature.

r-cran-nnls
GNU R package for non-negative least squares (the Lawson-Hanson algorithm)
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An R package to the Lawson-Hanson implementation of an algorithm for non- negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints.

r-cran-princurve
fit a principal curve in arbitrary dimension
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GNU R package to fit a principal curve to a data matrix in arbitrary dimensions.

r-cran-r.oo
GNU R object-oriented programming with or without references
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Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.

Please cite: Henrik Bengtsson: The R.oo package - Object-Oriented Programming with References Using Standard R Code. (eprint) Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003) (2003)
r-cran-r.utils
GNU R various programming utilities
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This GNU R package contains various programming utilities, These functions are useful when programming and developing R packages.

r-cran-rngtools
GNU R package for random number generators
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This package contains a set of functions for working with Random Number Generators (RNGs). In particular, it defines a generic S4 framework for getting/setting the current RNG, or RNG data that are embedded into objects for reproducibility. Notably, convenient default methods greatly facilitate the way current RNG settings can be changed.

r-cran-spc
Statistische Prozesslenkung für GNU R
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bullseye0.6.4-1amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x
jessie0.5.0-1amd64,armel,armhf,i386
Popcon: 6 users (1 upd.)*
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License: DFSG free
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Auswertung der Regelkarten durch den Null- und Dauerzustand ARL (Average Run Length). Einstellung der Regelkarten für gegebene ARL und Plotten der relativen Abbildungen. Die betrachteten Regelkarten sind die ein- und zweiseitigen EMWA- und CUSUM-Karten zur Überwachung des Mittels der normal verteilten unabhängigen Daten. Die ARL-Berechnung der EWMA-S^2-Regelkarten wurden hinzugefügt. Andere Karten und Parameter sind in Planung. Weitere Bereiche der statistischen Prozesslenkung werden ebenfalls implementiert (Stichprobenpläne, Fähigkeitsindexe...).

science-mathematics
Debian Science: Mathematik-Pakete
Versions of package science-mathematics
ReleaseVersionArchitectures
sid1.14.7all
jessie1.4all
stretch1.7all
buster1.10all
bookworm1.14.5all
trixie1.14.7all
bullseye1.14.2all
Debtags of package science-mathematics:
fieldmathematics
rolemetapackage
suitedebian
Popcon: 1 users (13 upd.)*
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License: DFSG free
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Dieses Metapaket installiert Debian-Science-Pakete mit Bezug zur Mathematik. Vielleicht ist auch das Debtag field::mathematics und, je nach Ihrem Fokus, das Metapaket education-mathematics für Sie von Interesse.

Packaging has started and developers might try the packaging code in VCS

rstudio
GNU R IDE
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VCS2022.07.1+554-1all
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License: AGPL-3.0
Debian package not available
Git
Version: 2022.07.1+554-1

RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management.

Unofficial packages built by somebody else

r-cran-fcalendar
GNU R package for financial engineering -- fCalendar
License: unknown

This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz.

fCalendar provides basic time and date manipulations, holiday calculators and other tools. Its code was previously provided within the fBasics package from which it has been split off.

Remark of Debian Science team: Removed from Debian

This package was removed from Debian but some versions are available from http://snapshot.debian.org/

Reasons are given here: http://bugs.debian.org/554513

*Popularitycontest results: number of people who use this package regularly (number of people who upgraded this package recently) out of 247608