Summary
Economics
Debian Science Economics packages
This metapackage will install Debian Science packages useful for economics and
econometrics. It includes user-friendly programs for simulating and estimating
macro-economic and micro-economic models. It also provides computing
environments which can solve a wide range of problems typically encountered in
economic research. These environments provide functionalities similar to those
of popular non-free systems (such as MATLAB, Mathematica, Stata or SAS).
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
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Debian Science Economics packages
Official Debian packages with high relevance
dynare
platform for handling a wide class of economic models
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Versions of package dynare |
Release | Version | Architectures |
trixie | 6.2-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
sid | 6.2-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
bullseye | 4.6.3-4 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 4.5.7-1 | amd64,arm64,armhf,i386 |
stretch | 4.4.3-3 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
jessie | 4.4.3-1 | amd64,armel,armhf,i386 |
bookworm | 5.3-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
Debtags of package dynare: |
interface | commandline |
role | program |
science | modelling |
uitoolkit | ncurses |
use | simulating |
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License: DFSG free
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Dynare is a software platform for handling a wide class of economic models, in
particular dynamic stochastic general equilibrium (DSGE) and overlapping
generations (OLG) models. The models solved by Dynare include those relying on
the rational expectations hypothesis, wherein agents form their expectations
about the future in a way consistent with the model. But Dynare is also able
to handle models where expectations are formed differently: on one extreme,
models where agents perfectly anticipate the future; on the other extreme,
models where agents have limited rationality or imperfect knowledge of the
state of the economy and, hence, form their expectations through a learning
process. In terms of types of agents, models solved by Dynare can incorporate
consumers, productive firms, governments, monetary authorities, investors and
financial intermediaries. Some degree of heterogeneity can be achieved by
including several distinct classes of agents in each of the aforementioned
agent categories.
Dynare offers a user-friendly and intuitive way of describing these models. It
is able to perform simulations of the model given a calibration of the model
parameters and is also able to estimate these parameters given a dataset. In
practice, the user will write a text file containing the list of model
variables, the dynamic equations linking these variables together, the
computing tasks to be performed and the desired graphical or numerical
outputs.
This package provides a full installation of Dynare, to be run on top of GNU
Octave.
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gretl
GNU Regression, Econometric & Time-Series Library
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Versions of package gretl |
Release | Version | Architectures |
stretch | 2016d-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
bookworm | 2022c-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
bullseye | 2021a-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
jessie | 1.9.92-1 | amd64,armel,armhf,i386 |
buster | 2019a-1 | amd64,arm64,armhf,i386 |
sid | 2024c-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
Debtags of package gretl: |
field | statistics |
interface | text-mode, x11 |
role | program |
scope | utility |
suite | gnu |
uitoolkit | gtk |
x11 | application |
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License: DFSG free
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The GNU Regression, Econometric and Time-Series Library (gretl) is a
software package for econometric analysis. The package comprises a
shared library, a command-line client program, and a graphical client
built using GTK+.
This package provides the GTK+ client and the command-line client.
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octave-econometrics
econometrics functions for Octave
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Versions of package octave-econometrics |
Release | Version | Architectures |
stretch | 1.1.1-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
bullseye | 1.1.2-3 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
sid | 1.1.2-4 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
trixie | 1.1.2-4 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
buster | 1.1.1-6 | amd64,arm64,armhf,i386 |
jessie | 1.1.1-2 | amd64,armel,armhf,i386 |
bookworm | 1.1.2-4 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
Debtags of package octave-econometrics: |
uitoolkit | ncurses |
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License: DFSG free
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This package provides functions to work with econometrics in Octave,
a numerical computation software. The functions include methods to do
maximum likelihood (mle_estimate) and general method of moments
(gmm_estimate) based estimations.
This Octave add-on package is part of the Octave-Forge project.
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python3-statsmodels
Python3 module for the estimation of statistical models
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Versions of package python3-statsmodels |
Release | Version | Architectures |
bookworm | 0.13.5+dfsg-7 | all |
stretch-backports | 0.8.0-9~bpo9+1 | all |
buster | 0.8.0-9 | all |
bullseye | 0.12.2-1 | all |
trixie | 0.14.4+dfsg-1 | all |
sid | 0.14.4+dfsg-1 | all |
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License: DFSG free
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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)
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r-base
GNU R — система для статистичних обчислень та представлення даних в графічному вигляді
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Versions of package r-base |
Release | Version | Architectures |
trixie | 4.4.2-1 | all |
bookworm | 4.2.2.20221110-2 | all |
bullseye | 4.0.4-1 | all |
buster | 3.5.2-1 | all |
stretch | 3.3.3-1 | all |
jessie-security | 3.1.1-1+deb8u1 | all |
jessie | 3.1.1-1+deb8u1 | all |
sid | 4.4.2-1 | all |
Debtags of package r-base: |
devel | lang:r |
field | statistics |
role | dummy, metapackage |
suite | gnu |
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License: DFSG free
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R — система для статистичних обчислень та представлення даних в графічному
вигляді. Вона складається з мови з виконавчим середовищем для графічного
відтворення даних, відлагоджувача, доступу до певних системних функцій та
можливості виконувати програми, що містяться у файлах сценаріїв.
На вигляд R значною мірою вплинули дві існуючі мови: S (Becker, Chambers &
Wilks) та Scheme (Sussman). Отже в результаті вийшла мова, що дуже схожа на
S з реалізацією та семантикою, успадкованою з Scheme.
Ядром R є інтерпретована комп’ютерна мова, яка дозволяє створювати
розгалуження та цикли так само, як і модульні програми з використанням
функцій. Більшість доступних користувачам функцій R написані на R. R дає
можливість користувачам звертатись до процедур, написаних на Сі, Сі++ або
Фортран, для підвищення ефективності, і більшість із основних функцій R
дозволяють робити це. Дистрибутив R містить функції для великої кількості
статистичних завдань та математичних розрахунків, на які вони спираються. В
ньому також міститься великий набір функцій, що надають гнучке середовище
для графічного подання даних та результатів обчислень.
На додачу, кілька тисяч пакунків розширень доступні на CRAN (Comprehensive
R Archive Network) багато з них також є пакунками Debian, що мають назву
'r-cran-'.
Цей пакунок є збірним пакунком, який полегшує перехід з встановлення
пакунків pre-1.5.0 до використання великого пакунка r-base. Після
встановлення його можна безпечно вилучити, а apt-get буде виконувати
автоматичне оновлення його компонентів в майбутньому. Встановивши цей
пакунок, користувачам потім буде потрібно лише встановити пакунок r-base-
core, якщо вони забажають.
The package is enhanced by the following packages:
texmacs-bin
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r-cran-aer
Applied Econometrics with R
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Versions of package r-cran-aer |
Release | Version | Architectures |
sid | 1.2-14-1 | all |
buster | 1.2-6-1 | all |
trixie | 1.2-14-1 | all |
bullseye | 1.2-9-2 | all |
bookworm | 1.2-10-1 | all |
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License: DFSG free
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This GNU R package provides functions, data sets, examples, demos, and
vignettes for the book Christian Kleiber and Achim Zeileis (2008),
Applied Econometrics with R, Springer-Verlag, New York.
ISBN 978-0-387-77316-2. (See the vignette "AER" for a package overview.)
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r-cran-bayesm
GNU R package for Bayesian inference
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Versions of package r-cran-bayesm |
Release | Version | Architectures |
sid | 3.1-6+dfsg-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
bookworm | 3.1-5+dfsg-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
jessie | 2.2-5-1 | amd64,armel,armhf,i386 |
buster | 3.1-1-1 | amd64,arm64,armhf,i386 |
bullseye | 3.1-4+dfsg-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
trixie | 3.1-6+dfsg-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
stretch | 3.0-2-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
Debtags of package r-cran-bayesm: |
field | mathematics, statistics |
suite | gnu |
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License: DFSG free
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The bayesm package covers many important models used in marketing and
micro-econometrics applications. The package includes:
- Bayes Regression (univariate or multivariate dep var)
- Multinomial Logit (MNL) and Multinomial Probit (MNP)
- Multivariate Probit,
- Multivariate Mixtures of Normals
- Hierarchical Linear Models with normal prior and covariates
- Hierarchical Multinomial Logits with mixture of normals prior and
covariates
- Bayesian analysis of choice-based conjoint data
- Bayesian treatment of linear instrumental variables models
- Analyis of Multivariate Ordinal survey data with scale usage heterogeneity
(as in Rossi et al, JASA (01)).
For further reference, consult the authors' book, Bayesian Statistics and
Marketing by Allenby, McCulloch and Rossi.
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r-cran-dynlm
GNU R package for dynamic linear models and time series regression
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Versions of package r-cran-dynlm |
Release | Version | Architectures |
stretch | 0.3.5-1 | all |
bullseye | 0.3.6-2 | all |
bookworm | 0.3.6-2 | all |
sid | 0.3.6-2 | all |
trixie | 0.3.6-2 | all |
buster | 0.3.6-1 | all |
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License: DFSG free
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This R package provides a user-friendly interface for fitting dynamic linear
models and time series regression relationships
The interface and internals of dynlm are very similar to lm, but currently
dynlm offers three advantages over the direct use of lm:
- extended formula processing;
- preservation of time series attributes;
- instrumental variables regression (via two-stage least squares).
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r-cran-fimport
GNU R package for financial engineering -- fImport
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Versions of package r-cran-fimport |
Release | Version | Architectures |
sid | 4041.88-1 | all |
bookworm | 4021.86-1 | all |
bullseye | 3042.85-3 | all |
buster | 3042.85-2 | all |
stretch | 3000.82-3 | all |
jessie | 3000.82-2 | all |
trixie | 4041.88-1 | all |
Debtags of package r-cran-fimport: |
devel | lang:r |
field | finance |
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License: DFSG free
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This package provides functions to import financial and economic data
series import and is part of Rmetrics, a collection of packages for
financial engineering and computational finance written and compiled
by Diethelm Wuertz and others.
fImport provides import function to access (free) data from Economagic,
the US Federal Reserve, Forecasts.Org, Yahoo and other web sources.
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r-cran-fnonlinear
GNU R package for financial engineering -- fNonlinear
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Versions of package r-cran-fnonlinear |
Release | Version | Architectures |
bullseye | 3042.79-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
trixie | 4041.82-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
bookworm | 4021.81-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 3042.79-1 | amd64,arm64,armhf,i386 |
stretch | 3010.78-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
sid | 4041.82-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
Debtags of package r-cran-fnonlinear: |
field | finance |
suite | gnu |
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License: DFSG free
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This package provides functions for modelling of nonlinear time
series and is part of Rmetrics, a collection of packages for
financial engineering and computational finance written and compiled
by Diethelm Wuertz and others.
fNonlinear provides nonlinear time series modelling functions.
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r-cran-foreign
GNU R package to read/write data from other stat. systems
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Versions of package r-cran-foreign |
Release | Version | Architectures |
buster | 0.8.71-1 | amd64,arm64,armhf,i386 |
bullseye | 0.8.81-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
jessie | 0.8.61-1 | amd64,armel,armhf,i386 |
bookworm | 0.8.84-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
sid | 0.8.87-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
trixie | 0.8.87-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
stretch | 0.8.67-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
Debtags of package r-cran-foreign: |
devel | lang:r, library |
field | statistics |
role | app-data |
suite | gnu |
use | converting |
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License: DFSG free
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This package provides functions for reading and writing data stored by
statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
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r-cran-funitroots
GNU R package for financial engineering -- fUnitRoots
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Versions of package r-cran-funitroots |
Release | Version | Architectures |
trixie | 4040.81-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
stretch | 3010.78-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
buster | 3042.79-1 | amd64,arm64,armhf,i386 |
bookworm | 4021.80-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
bullseye | 3042.79-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
jessie | 3010.78-1 | amd64,armel,armhf,i386 |
sid | 4040.81-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
Debtags of package r-cran-funitroots: |
devel | lang:r |
field | finance |
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License: DFSG free
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This package provides functions for unit root modelling of
non-stationary time series and is part of Rmetrics, a collection of
packages for financial engineering and computational finance written
and compiled by Diethelm Wuertz and others.
fUnitRoots provides modelling functions for non-stationary time series.
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r-cran-gmm
GNU R generalized method of moments and generalized empirical likelihood
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Versions of package r-cran-gmm |
Release | Version | Architectures |
sid | 1.8-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
bullseye | 1.6-5-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
bookworm | 1.7-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 1.6-2-2 | all |
trixie | 1.8-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
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License: DFSG free
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This GNU R package is a complete suite to estimate models based on
moment conditions. It includes the two step Generalized method of
moments (Hansen 1982; ), the iterated GMM and
continuous updated estimator (Hansen, Eaton and Yaron 1996;
) and several methods that belong to the
Generalized Empirical Likelihood family of estimators (Smith 1997;
, Kitamura 1997;
, Newey and Smith 2004;
, and Anatolyev 2005
).
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r-cran-hmisc
GNU R miscellaneous functions by Frank Harrell
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Versions of package r-cran-hmisc |
Release | Version | Architectures |
stretch | 4.0-2-1 | amd64,arm64,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
sid | 5.2-1-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
trixie | 5.2-1-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
bookworm | 4.8-0-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
bullseye | 4.5-0-1 | amd64,arm64,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 4.2-0-1 | amd64,arm64,armhf,i386 |
jessie | 3.14-5-1 | amd64,armel,armhf,i386 |
Debtags of package r-cran-hmisc: |
devel | lang:r, library |
field | statistics |
role | app-data |
suite | gnu |
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License: DFSG free
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The Hmisc library contains many functions useful for data
analysis, high-level graphics, utility operations, functions for
computing sample size and power, translating SAS datasets,
imputing missing values, advanced table making, variable clustering,
character string manipulation, conversion of S objects to LaTeX code,
recoding variables, and bootstrap repeated measures analysis.
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r-cran-isocodes
GNU R package providing tables for several ISO codes
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Versions of package r-cran-isocodes |
Release | Version | Architectures |
buster | 2019.02.13-1 | all |
stretch | 2016.12.09-1 | all |
bullseye | 2020.12.04-1 | all |
sid | 2024.02.12-1 | all |
bookworm | 2022.09.29-1 | all |
trixie | 2024.02.12-1 | all |
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License: DFSG free
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This R package provides ISO 639 language codes, ISO 3166 territory codes, ISO
4217 currency codes, ISO 15924 script codes, and the ISO 8859 character codes
as well as the UN M.49 area codes.
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r-cran-lme4
GNU R package for linear mixed effects model fitting
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Versions of package r-cran-lme4 |
Release | Version | Architectures |
jessie | 1.1-7-1 | amd64,armel,armhf,i386 |
sid | 1.1-35.5-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
trixie | 1.1-35.5-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
stretch | 1.1-12-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
stretch-backports | 1.1-20-3~bpo9+1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
buster | 1.1-20-3 | amd64,arm64,armhf,i386 |
bullseye | 1.1-26-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
bookworm | 1.1-31-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
Debtags of package r-cran-lme4: |
field | mathematics |
suite | gnu |
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License: DFSG free
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This CRAN package provides S4 classes and methods for fitting and
examining linear mixed effects models (also called multilevel models,
panel data models, and several other names) and generalized linear
mixed effects models.
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r-cran-mcmcpack
R routines for Markov chain Monte Carlo model estimation
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Versions of package r-cran-mcmcpack |
Release | Version | Architectures |
bullseye | 1.5-0-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
jessie | 1.3-3-1 | amd64,armel,armhf,i386 |
stretch | 1.3-8-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
buster | 1.4-4-1 | amd64,arm64,armhf,i386 |
bookworm | 1.6-3-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
trixie | 1.7-0-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
sid | 1.7-0-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
upstream | 1.7-1 |
Debtags of package r-cran-mcmcpack: |
devel | lang:r, library |
field | statistics |
role | app-data |
suite | gnu |
|
License: DFSG free
|
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.
|
|
r-cran-mfilter
GNU R package providing miscellaneous time series filters
|
Versions of package r-cran-mfilter |
Release | Version | Architectures |
trixie | 0.1.5-2 | all |
stretch | 0.1.3-1 | all |
sid | 0.1.5-2 | all |
buster | 0.1.4-1 | all |
jessie | 0.1.3-1 | all |
bullseye | 0.1.5-2 | all |
bookworm | 0.1.5-2 | all |
|
License: DFSG free
|
The package implements several time series filters useful for smoothing and
extracting trend and cyclical components of a time series. The routines are
commonly used in economics and finance, however they should also be interest
to other areas. Currently, Christiano-Fitzgerald, Baxter-King,
Hodrick-Prescott, Butterworth, and trigonometric regression filters are
included in the package.
|
|
r-cran-plm
GNU R estimators and tests for panel data econometrics
|
Versions of package r-cran-plm |
Release | Version | Architectures |
buster | 1.7-0-1 | all |
trixie | 2.6-4-1 | all |
sid | 2.6-4-1 | all |
bullseye | 2.4-0-1 | all |
bookworm | 2.6-2+dfsg-1 | all |
|
License: DFSG free
|
This R package intends to make the estimation of linear panel models
straightforward. It provides functions to estimate a wide variety of models=
and to make (robust) inference.
The main functions to estimate models are:
- plm: panel data estimators using lm on transformed data,
- pgmm: generalized method of moments (GMM) estimation for panel data,
- pvcm: variable coefficients models for panel data,
- pmg: mean groups (MG), demeaned MG and common correlated effects (CCEMG)
estimators.
Next to the model estimation functions, the package offers several functions
for statistical tests related to panel data/models.
Multiple functions for (robust) variance-covariance matrices are at hand as
well. The package also provides data sets to demonstrate functions and to
replicate some text book/paper results.
|
|
r-cran-pwt
GNU R package for the Penn World Tables (version 5.6 to 7.1)
|
Versions of package r-cran-pwt |
Release | Version | Architectures |
bullseye | 7.1.1-7 | all |
buster | 7.1.1-6 | all |
stretch | 7.1.1-2 | all |
jessie | 7.1.1-2 | all |
sid | 7.1.1-7 | all |
trixie | 7.1.1-7 | all |
bookworm | 7.1.1-7 | all |
|
License: DFSG free
|
This package contains the Penn World Tables (PWT), which provide purchasing
power parity (PPP) and national income accounts converted to international
prices for 189 countries for some or all the years 1950-2010. The data are
developed and maintained by scholars at the Center for International
Comparisons of Production, Income and Prices (CIC) from the University of
Pennsylvania.
The package contains all the releases of the PWT from version 5.6 to 7.1,
which were created by the University of Pennsylvania. Note that more recent
versions of the PWT have been created by the University of California, Davis
and the University of Groningen, and are available in the r-cran-pwt8 and
r-cran-pwt9 packages.
|
|
r-cran-pwt8
GNU R package for the Penn World Tables (version 8.x)
|
Versions of package r-cran-pwt8 |
Release | Version | Architectures |
bullseye | 8.1.1-5 | all |
buster | 8.1.1-4 | all |
stretch | 8.1.1-1 | all |
jessie | 8.0.0-1 | all |
sid | 8.1.1-5 | all |
trixie | 8.1.1-5 | all |
bookworm | 8.1.1-5 | all |
|
License: DFSG free
|
This package contains the Penn World Tables (PWT) version 8.x, which provide
purchasing power parity (PPP) and national income accounts converted to
international prices for 167 countries between 1950 and 2011.
This version of the PWT is produced by the University of California, Davis and
the University of Groningen. It is the continuation of the work by the
University of Pennsylvania. The older versions of the PWT (version 7 and below)
are available in the package r-cran-pwt. A newer version of the PWT (version
9) is available in the package r-cran-pwt9.
The package is enhanced by the following packages:
r-cran-pwt9
|
|
r-cran-pwt9
GNU R package for the Penn World Tables (version 9.x)
|
Versions of package r-cran-pwt9 |
Release | Version | Architectures |
sid | 9.1-0-2 | all |
bookworm | 9.1-0-2 | all |
bullseye | 9.1-0-2 | all |
buster | 9.0-0-3 | all |
trixie | 9.1-0-2 | all |
|
License: DFSG free
|
This package contains the Penn World Tables (PWT) version 9.x, which provide
purchasing power parity (PPP) and national income accounts converted to
international prices for 182 countries between 1950 and 2017.
This version of the PWT is produced by the University of California, Davis and
the University of Groningen. It is the continuation of the work by the
University of Pennsylvania. Older versions of the PWT are available in the
packages r-cran-pwt and r-cran-pwt8.
|
|
r-cran-rdbnomics
access to hundreds of millions data series from DBnomics API
|
Versions of package r-cran-rdbnomics |
Release | Version | Architectures |
bullseye | 0.6.4-1 | all |
sid | 0.6.4-1 | all |
trixie | 0.6.4-1 | all |
bookworm | 0.6.4-1 | all |
|
License: DFSG free
|
This package provides access to DBnomics data series
(https://db.nomics.world/). DBnomics is an open-source project with the goal
of aggregating the world’s economic data in one location, free of charge to
the public. DBnomics covers hundreds of millions of series from international
and national institutions (World Bank, International Monetary Fund, Eurostat,
national statistical institutes and central banks…).
|
|
r-cran-rsdmx
GNU R package for the Statistical Data and Metadata Exchange (SDMX) framework
|
Versions of package r-cran-rsdmx |
Release | Version | Architectures |
sid | 0.6-3+dfsg-1 | all |
stretch | 0.5.7+dfsg-2 | all |
bullseye | 0.6+dfsg-1 | all |
bookworm | 0.6-2+dfsg-1 | all |
buster | 0.5-13+dfsg-1 | all |
trixie | 0.6-3+dfsg-1 | all |
|
License: DFSG free
|
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-tseries
GNU R package for time-series analysis and comp. finance
|
Versions of package r-cran-tseries |
Release | Version | Architectures |
stretch | 0.10-37-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
jessie | 0.10-32-1 | amd64,armel,armhf,i386 |
buster | 0.10-46-1 | amd64,arm64,armhf,i386 |
bullseye | 0.10-48-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
bookworm | 0.10-53-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
trixie | 0.10-58-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
sid | 0.10-58-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
Debtags of package r-cran-tseries: |
devel | lang:r, library |
field | statistics |
role | app-data |
suite | gnu |
|
License: DFSG free
|
This CRAN package provides additional time-series analysis functions, as
well as several computational finance routines.
|
|
r-cran-urca
GNU R package providing unit root and cointegration tests
|
Versions of package r-cran-urca |
Release | Version | Architectures |
jessie | 1.2-8-1 | amd64,armel,armhf,i386 |
sid | 1.3-4-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
trixie | 1.3-4-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
bookworm | 1.3-3-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
bullseye | 1.3-0-3 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 1.3-0-3 | amd64,arm64,armhf,i386 |
stretch | 1.3-0-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
Debtags of package r-cran-urca: |
role | app-data |
|
License: DFSG free
|
This package provides functions for unit root and cointegration
analyses common in applied time series / econometrics.
|
|
r-cran-wdi
GNU R package for accessing the World Development Indicators
|
Versions of package r-cran-wdi |
Release | Version | Architectures |
stretch | 2.4-1 | all |
bookworm | 2.7.8-1 | all |
trixie | 2.7.8-1 | all |
buster | 2.5.1-1 | all |
sid | 2.7.8-1 | all |
jessie | 2.4-1 | all |
bullseye | 2.7.2-1 | all |
|
License: DFSG free
|
Search and download data from over 40 databases hosted by the World Bank,
including the World Development Indicators (WDI), International Debt
Statistics, Doing Business, Human Capital Index, and Sub-national Poverty
indicators.
Note that the package does not contain the data. Instead, it provides a set of
functions to download the data from the World Bank's website.
|
|
Official Debian packages with lower relevance
elpa-ess
Emacs mode for statistical programming and data analysis
|
Versions of package elpa-ess |
Release | Version | Architectures |
bullseye | 18.10.2-2 | all |
buster | 18.10.2-1 | all |
sid | 24.01.1-4 | all |
trixie | 24.01.1-4 | all |
bookworm | 18.10.2+git20220915.f45542e-3 | all |
|
License: DFSG free
|
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
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|
science-financial
Debian Science financial engineering and computational finance
|
Versions of package science-financial |
Release | Version | Architectures |
bullseye | 1.14.2 | all |
trixie | 1.14.7 | all |
bookworm | 1.14.5 | all |
sid | 1.14.7 | all |
stretch | 1.7 | all |
buster | 1.10 | all |
jessie | 1.4 | all |
|
License: DFSG free
|
This metapackage will install Debian Science packages for financial
engineering and computational finance.
|
|
science-mathematics
Науковий набір Debian — пакунки з математики
|
Versions of package science-mathematics |
Release | Version | Architectures |
sid | 1.14.7 | all |
jessie | 1.4 | all |
buster | 1.10 | all |
bullseye | 1.14.2 | all |
bookworm | 1.14.5 | all |
trixie | 1.14.7 | all |
stretch | 1.7 | all |
Debtags of package science-mathematics: |
field | mathematics |
role | metapackage |
suite | debian |
|
License: DFSG free
|
Цей збірний пакунок встановить усі пакунки з Наукового набору Debian, що
стосуються математики. Вас також зацікавить поле field::mathematics у
debtag, а також, в залежності від ваших уподобань, пакунки на які
посилається збірний пакунок education-mathematics.
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|
science-numericalcomputation
Науковий набір Debian — пакунки з числових обрахунків
|
Versions of package science-numericalcomputation |
Release | Version | Architectures |
bookworm | 1.14.5 | all |
bullseye | 1.14.2 | all |
trixie | 1.14.7 | all |
sid | 1.14.7 | all |
buster | 1.10 | all |
stretch | 1.7 | all |
jessie | 1.4 | all |
Debtags of package science-numericalcomputation: |
devel | lang:lisp |
role | metapackage, shared-lib |
|
License: DFSG free
|
Цей збірний пакунок встановлює пакунки Наукового набору Debian, корисні для
числових обрахунків. Пакунки забезпечують матричні розрахунки, систем
візуалізації для наукових обчислень та аналіз даних. Ці пакунки подібні до
комерційних систем, таких, як Matlab та IDL.
|
|
science-social
??? missing short description for package science-social :-(
|
Versions of package science-social |
Release | Version | Architectures |
stretch | 1.7 | all |
jessie | 1.4 | all |
|
License: DFSG free
|
|
|
science-statistics
Науковий набір Debian — пакунки зі статистики
|
Versions of package science-statistics |
Release | Version | Architectures |
bookworm | 1.14.5 | all |
stretch | 1.7 | all |
sid | 1.14.7 | all |
trixie | 1.14.7 | all |
buster | 1.10 | all |
bullseye | 1.14.2 | all |
jessie | 1.4 | all |
Debtags of package science-statistics: |
role | metapackage |
suite | debian |
|
License: DFSG free
|
Цей збірний пакунок є частиною Наукового набору Debian (Debian Pure Blend
"Debian Science") і встановлює пакунки, які стосуються статистичних
обчислень. Ці задачі є загальними та корисними для будь-якої наукової
діяльності. Пакунок залежить від багатьох дослідницьких пакунків також, як
і від інших інструментів, які є корисними для статистичних обчислень. Більш
того задачі з математики є запропонованими і потребують додаткового
встановлення відповідного математичного програмного забезпечення.
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|
Debian packages in contrib or non-free
dynare-matlab
MATLAB support for Dynare
|
Versions of package dynare-matlab |
Release | Version | Architectures |
buster | 4.5.7-1 (contrib) | all |
bullseye | 4.6.3-4 (contrib) | all |
sid | 6.2-1 (contrib) | all |
trixie | 6.2-1 (contrib) | all |
bookworm | 5.3-1 (contrib) | all |
jessie | 4.4.3-1 (contrib) | all |
stretch | 4.4.3-3 (contrib) | all |
Debtags of package dynare-matlab: |
role | plugin |
|
License: DFSG free, but needs non-free components
|
Dynare is a software platform for handling a wide class of economic models, in
particular dynamic stochastic general equilibrium (DSGE) and overlapping
generations (OLG) models. The models solved by Dynare include those relying on
the rational expectations hypothesis, wherein agents form their expectations
about the future in a way consistent with the model. But Dynare is also able
to handle models where expectations are formed differently: on one extreme,
models where agents perfectly anticipate the future; on the other extreme,
models where agents have limited rationality or imperfect knowledge of the
state of the economy and, hence, form their expectations through a learning
process. In terms of types of agents, models solved by Dynare can incorporate
consumers, productive firms, governments, monetary authorities, investors and
financial intermediaries. Some degree of heterogeneity can be achieved by
including several distinct classes of agents in each of the aforementioned
agent categories.
Dynare offers a user-friendly and intuitive way of describing these models. It
is able to perform simulations of the model given a calibration of the model
parameters and is also able to estimate these parameters given a dataset. In
practice, the user will write a text file containing the list of model
variables, the dynamic equations linking these variables together, the
computing tasks to be performed and the desired graphical or numerical
outputs.
This package is only useful to users having MATLAB installed on their
machine. It contains the source of the MEX files and will recompile them using
the existing MATLAB installation.
|
x13as
seasonal adjustment software for modeling time series
|
Versions of package x13as |
Release | Version | Architectures |
buster | 1.1-B39-1 (non-free) | amd64,arm64,armhf,i386 |
bookworm | 1.1-b59-1 (non-free) | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
trixie | 1.1-b61-1 (non-free) | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
sid | 1.1-b61-1 (non-free) | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
bullseye | 1.1-B39-2 (non-free) | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
|
License: non-free
|
X-13ARIMA-SEATS is a seasonal adjustment software produced, distributed, and
maintained by the Census Bureau, U.S. Department of Commerce.
Features include:
- Extensive time series modeling and model selection capabilities for linear
regression models with ARIMA errors (regARIMA models);
- The capability to generate ARIMA model-based seasonal adjustment using a
version of the SEATS procedure originally developed by Victor Gómez and
Agustín Maravall at the Bank of Spain as well as nonparametric adjustments
from the X-11 procedure;
- Diagnostics of the quality and stability of the adjustments achieved under
the options selected;
- The ability to efficiently process many series at once.
This package ships the version of the program that creates ASCII text file
output.
|
No known packages available
dolo
Economic modelling in Python
|
|
License: BSD
Debian package not available
|
Dolo is a tool to assist researchers in solving several types of Dynamic
Stochastic General Equilibrium (DSGE) models, using either local of global
approximation methods.
Users are can separate the definition of their models from the solution
algorithm. A simple syntax is provided in YAML files to define variables and
equations of several types. This syntax integrates the specification of
occasionally binding constraints (a.k.a. complementarity conditions)
The user can then implement his own preferred solution method using one of the
provided tools (various types of interpolation, solvers, ...) or use one of
the already implemented procedures.
Dolo is written in Python and so are his solution routines. If you prefer or
need to use another language for the solution, you can always use dolo as a
preprocessor. In that case, dolo will just translate the model file into a
numerical file usable by your software. Currently, Octave/MATLAB and Julia are
supported.
|
minsky
system dynamics program with additional features for economics
|
|
License: GPL-3
Debian package not available
|
Minsky is one of a family of ``system dynamics'' computer programs. These
programs allow a dynamic model to be constructed, not by writing mathematical
equations or numerous lines of computer code, but by laying out a model of a
system in a flowchart, which can then simulate the system. These programs are
now the main tool used by engineers to design complex products, ranging from
small electrical components right up to passenger jets.
What does Minsky provide that other system dynamics programs don't boils down
to one feature: The Godley Table that enables a dynamic model of financial
flows to be derived from a table that is very similar to the accountant's
double-entry bookkeeping table. Hence Minsky is very well suited for simulating
Stock-Flow Consistent (SFC) models.
|
netlogo
multi-agent programmable modeling environment
|
|
License: GPL-2+
Debian package not available
|
NetLogo is a programmable modeling environment for simulating natural and
social phenomena. It was authored by Uri Wilensky in 1999 and has been in
continuous development ever since at the Center for Connected Learning and
Computer-Based Modeling.
NetLogo is particularly well suited for modeling complex systems developing
over time. Modelers can give instructions to hundreds or thousands of "agents"
all operating independently. This makes it possible to explore the connection
between the micro-level behavior of individuals and the macro-level patterns
that emerge from their interaction.
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pksfc
R package to simulate Post-Keynesian Stock-Flow Consistent Models
|
|
License: Expat
Debian package not available
|
This package allows to simulate Post-Keynesian Stock-Flow Consistent Models,
following the approach of Godley, W. and M. Lavoie, 2007: Monetary Economics
An Integrated Approach to Credit, Money, Income, Production and Wealth.
The package uses the Gauss-Seidel algorithm to
solve linear systems of equations, following the approach found in Kinsella,
Stephen and O’Shea, Terence, Solution and Simulation of Large Stock Flow
Consistent Monetary Production Models Via the Gauss Seidel Algorithm.
|
python3-pandasdmx
python- and pandas-powered client for statistical data and metadata exchange
|
|
License: Apache-2.0
Debian package not available
|
pandaSDMX is SDMX software that facilitates the acquisition and analysis of
SDMX-2.1 compliant data and metadata. These can be rendered in various
formats:
- as a hierarchical data structure following closely the SDMX 2.1 information
model. Technically, the model is a layer on top of the XML structure
rendered by SDMX web services.
- as arbitrary output generated by dedicated writers. Currently, there is only
one writer rendering data as pandas Series and DataFrames.
|
python3-quantecon
high performance, open source Python code library for economics
|
|
License: BSD-3-clause
Debian package not available
|
QuantEcon provides a high performance, open source Python code library
for economics.
|
r-cran-ecdat
R data sets for econometrics
|
|
License: GPL-2+
Debian package not available
|
Contains data sets that can be used to replicate a large set of published
papers.
|
r-cran-pdfetch
Fetch Economic and Financial Time Series Data from Public Sources
|
|
License: GPL-2+
Debian package not available
|
Download economic and financial time series from public sources, including the
St Louis Fed's FRED system, Yahoo Finance, the US Bureau of Labor Statistics,
the US Energy Information Administration, the World Bank, Eurostat, the
European Central Bank, the Bank of England, the UK's Office of National
Statistics, Deutsche Bundesbank, and INSEE.
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r-cran-vars
VAR, SVAR and SVEC Models in R
|
|
License: GPL-2+
Debian package not available
|
This packages implements vector autoregressive-, structural vector
autoregressive- and structural vector error correction models in R. In
addition to the three cornerstone functions VAR(), SVAR() and SVEC() for
estimating such models, functions for diagnostic testing, estimation of a
restricted models, prediction, causality analysis, impulse response analysis
and forecast error variance decomposition are provided too. It is further
possible to convert vector error correction models into their level VAR
representation.
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r-other-bmr
bayesian Macroeconometrics in R
|
|
License: GPL-2+
Debian package not available
|
BMR (Bayesian Macroeconometrics in R) is a collection of R and C++ routines
for estimating Bayesian Vector Autoregressive (BVAR) and Dynamic Stochastic
General Equilibrium (DSGE) models in the R statistical environment. Features
For BVARs, BMR supports:
* normal-inverse-Wishart prior,
* Minnesota prior, and
* Mattias Villani's steady-state prior.
The BMR package can also estimate BVARs with time-varying parameters, as well
as classical (non-Bayesian) VARs.
For DSGE models, the package can:
* solve models using either Harald Uhlig's method of undetermined coefficients
or Chris Sims' canonical decomposition;
* estimate models using MCMC by means of a Kalman filter or the Chandrasekhar
recursions;
* and estimate a hybrid DSGE-VAR model.
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r-other-gecon
solver for large scale dynamic general equilibrium models
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License: BSD
Debian package not available
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gEcon allows users to describe their models in terms of optimisation problems
of agents. Given optimisation problems, constraints and identities, gEcon
derives the first order conditions, steady state equations, and linearisation
matrices automatically. Numerical solvers can be then employed to determine
the steady state and approximate equilibrium laws of motion around it.
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recs
MATLAB solver for DSGE models
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License: Expat (mostly)
Debian package not available
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RECS is a MATLAB solver for dynamic, stochastic, rational expectations
equilibrium models. RECS stands for "Rational Expectations Complementarity
Solver". This name emphasizes that RECS has been developed specifically to
solve models that include complementarity equations, also known as models with
occasionally binding constraints.
RECS is designed to solve small-scale nonlinear and complementarity models,
but not large-scale models. For solving large-scale problems, but without
complementarity equations, see Dynare or similar toolboxes.
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repast-hpc
agent-based modeling for large-scale distributed computing platforms
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License: BSD-3-clause
Debian package not available
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Repast for High Performance Computing (Repast HPC) is a next generation
agent-based modeling system intended for large-scale distributed computing
platforms. It implements the core Repast Simphony concepts (e.g. contexts and
projections), modifying them to work in a parallel distributed environment.
Repast HPC is written in cross-platform C++. It can be used on workstations,
clusters, and supercomputers running Apple macOS, Linux, or Unix. Portable
models can be written in either standard or Logo-style C++.
Repast HPC has been successfully tested for scalability on Argonne National
Laboratory's Blue Gene/P.
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repast-symphony
platform for extremely flexible models of interacting agents
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License: BSD-3-clause
Debian package not available
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Repast Simphony is a tightly integrated, richly interactive, cross platform
Java-based modeling system. It supports the development of extremely flexible
models of interacting agents for use on workstations and computing clusters.
Repast Simphony models can be developed in several different forms including
the ReLogo dialect of Logo, point-and-click statecharts, Groovy, or Java, all
of which can be fluidly interleaved.
Repast Simphony has been successfully used in many application domains
including social science, consumer products, supply chains, possible future
hydrogen infrastructures, and ancient pedestrian traffic to name a few.
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