Summary
Epidemiology
Pakiety medyczne Debiana związane z epidemiologią
Ten metapakiet zainstaluje narzędzia, które są przydatne w badaniach
epidemiologicznych. Kilka pakietów wykorzystuje język danych GNU R
do badań statystycznych. Dobrym pomysłem może być przeczytanie artykułu
"Krótkie wprowadzenie do języka R dla epidemiologii" na stronie
http://staff.pubhealth.ku.dk/%7Ebxc/Epi/R-intro.pdf
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 Med
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 Med mailing list
Links to other tasks
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Debian Med Epidemiology packages
Official Debian packages with high relevance
Epigrass
scientific tool for simulations and scenario analysis in network epidemiology
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Versions of package epigrass |
Release | Version | Architectures |
squeeze | 2.0.3-1 | all |
bullseye | 2.5.0+dfsg-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
sid | 2.5.0+dfsg-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
jessie | 2.4.0-2 | all |
stretch | 2.4.7-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
wheezy | 2.0.4-3 | all |
Debtags of package epigrass: |
field | medicine |
interface | x11 |
role | program |
scope | application |
uitoolkit | qt |
use | analysing, viewing |
works-with | db |
x11 | application |
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License: DFSG free
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Epigrass is a software for visualizing, analyzing and simulating of
epidemic processes on geo-referenced networks.
EpiGrass can interact with the GRASS GIS from which it can obtain
maps and other geo-referenced information. However, EpiGrass does not
require an installation of the GRASS GIS for most of its features.
The package is enhanced by the following packages:
epigrass-doc
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Python3-treetime
inference of time stamped phylogenies and ancestral reconstruction (Python 3)
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Versions of package python3-treetime |
Release | Version | Architectures |
sid | 0.6.2-1 | all |
buster | 0.5.3-1 | all |
bullseye | 0.6.2-1 | all |
upstream | 0.7.0-beta.1 |
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License: DFSG free
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TreeTime provides routines for ancestral sequence reconstruction and the
maximum likelihoo inference of molecular-clock phylogenies, i.e., a tree
where all branches are scaled such that the locations of terminal nodes
correspond to their sampling times and internal nodes are placed at the
most likely time of divergence.
TreeTime aims at striking a compromise between sophisticated
probabilistic models of evolution and fast heuristics. It implements GTR
models of ancestral inference and branch length optimization, but takes
the tree topology as given. To optimize the likelihood of time-scaled
phylogenies, treetime uses an iterative approach that first infers
ancestral sequences given the branch length of the tree, then optimizes
the positions of unconstraine d nodes on the time axis, and then repeats
this cycle. The only topology optimization are (optional) resolution of
polytomies in a way that is most (approximately) consistent with the
sampling time constraints on the tree. The package is designed to be
used as a stand-alone tool or as a library used in larger phylogenetic
analysis workflows.
Features
- ancestral sequence reconstruction (marginal and joint maximum
likelihood)
- molecular clock tree inference (marginal and joint maximum
likelihood)
- inference of GTR models
- rerooting to obtain best root-to-tip regression
- auto-correlated relaxed molecular clock (with normal prior)
This package provides the Python 3 module.
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R-cran-diagnosismed
medical diagnostic test accuracy analysis toolkit
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Versions of package r-cran-diagnosismed |
Release | Version | Architectures |
sid | 0.2.3-6 | all |
wheezy | 0.2.3-2 | all |
stretch | 0.2.3-4 | all |
jessie | 0.2.3-3 | all |
squeeze | 0.2.3-1 | all |
buster | 0.2.3-6 | all |
bullseye | 0.2.3-6 | all |
Debtags of package r-cran-diagnosismed: |
devel | lang:r |
field | medicine |
interface | commandline |
role | program |
use | analysing |
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License: DFSG free
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DiagnosisMed is a GNU R package to analyze the accuracy of data from
diagnostic tests evaluating health conditions. It was designed to be
used by health professionals. This package helps estimating sensitivity
and specificity from categorical and continuous test results including
some evaluations of indeterminate results, or compare different
categorical tests, and estimate reasonable cut-offs of tests and display
it in a way commonly used by health professionals. No graphical
interface is available yet.
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R-cran-epi
GNU R epidemiological analysis
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Versions of package r-cran-epi |
Release | Version | Architectures |
squeeze | 1.1.15-1 | amd64,armel,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,sparc |
sid | 2.40-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
bullseye | 2.40-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 2.32-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
wheezy | 1.1.33-1 | amd64,armel,armhf,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,s390x,sparc |
jessie | 1.1.67-4 | amd64,armel,armhf,i386 |
stretch | 2.7-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
Debtags of package r-cran-epi: |
field | medicine |
interface | commandline |
role | program |
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License: DFSG free
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Functions for demographic and epidemiological analysis in the Lexis diagram,
i.e. register and cohort follow-up data, including interval censored data and
representation of multistate data. Also some useful functions for tabulation
and plotting. Contains some epidemiological datasets.
The Epi package is mainly focused on "classical" chronic disease epidemiology.
The package has grown out of the course Statistical Practice in Epidemiology
using R (see http://www.pubhealth.ku.dk/~bxc/SPE).
There is A short introduction to R for Epidemiology available at
http://staff.pubhealth.ku.dk/%7Ebxc/Epi/R-intro.pdf
Beware that the pages 38-120 of this is merely the manual pages for the Epi
package.
Epi is not the only R-package for epidemiological analysis, a package with
more affinity to infectious disease epidemiology is the epitools package
which is also evailable in Debian.
Epi is used in the Department of Biostatistics of the University of Copenhagen.
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R-cran-epibasix
GNU R Elementary Epidemiological Functions
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Versions of package r-cran-epibasix |
Release | Version | Architectures |
jessie | 1.3-1 | amd64,armel,armhf,i386 |
buster | 1.5-1 | all |
bullseye | 1.5-1 | all |
squeeze | 1.1-2 | amd64,armel,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,sparc |
wheezy | 1.1-3 | amd64,armel,armhf,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,s390x,sparc |
sid | 1.5-1 | all |
stretch | 1.3-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
Debtags of package r-cran-epibasix: |
field | medicine |
interface | commandline |
role | program |
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License: DFSG free
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Elementary Epidemiological Functions for a Graduate Epidemiology /
Biostatistics Course.
This package contains elementary tools for analysis of common epidemiological
problems, ranging from sample size estimation, through 2x2 contingency table
analysis and basic measures of agreement (kappa, sensitivity/specificity).
Appropriate print and summary statements are also written to facilitate
interpretation wherever possible. This package is a work in progress, so
any comments or suggestions would be appreciated. Source code is commented
throughout to facilitate modification. The target audience includes graduate
students in various epi/biostatistics courses.
Epibasix was developed in Canada.
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R-cran-epicalc
GNU R Epidemiological calculator
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Versions of package r-cran-epicalc |
Release | Version | Architectures |
squeeze | 2.11.1.0-1 | all |
buster | 2.15.1.0-4 | all |
stretch | 2.15.1.0-2 | all |
sid | 2.15.1.0-4 | all |
jessie | 2.15.1.0-1 | all |
wheezy | 2.14.1.6-1 | all |
bullseye | 2.15.1.0-4 | all |
Debtags of package r-cran-epicalc: |
devel | lang:r |
field | medicine, statistics |
interface | commandline |
role | program |
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License: DFSG free
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Functions making R easy for epidemiological calculation.
Datasets from Dbase (.dbf), Stata (.dta), SPSS(.sav), EpiInfo(.rec) and
Comma separated value (.csv) formats as well as R data frames can be
processed to do make several epidemiological calculations.
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R-cran-epir
GNU R Functions for analysing epidemiological data
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Versions of package r-cran-epir |
Release | Version | Architectures |
stretch | 0.9-79-1 | all |
bullseye | 1.0-10-1 | all |
sid | 1.0-10-1 | all |
squeeze | 0.9-26-1 | all |
wheezy | 0.9-38-1 | all |
jessie | 0.9-59-1 | all |
buster | 0.9-99-1 | all |
Debtags of package r-cran-epir: |
devel | lang:r |
field | medicine |
interface | commandline |
role | program |
use | analysing |
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License: DFSG free
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A package for analysing epidemiological data. Contains functions for
directly and indirectly adjusting measures of disease frequency,
quantifying measures of association on the basis of single or multiple
strata of count data presented in a contingency table, and computing
confidence intervals around incidence risk and incidence rate estimates.
Miscellaneous functions for use in meta-analysis, diagnostic test
interpretation, and sample size calculations.
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R-cran-epitools
GNU R Epidemiology Tools for Data and Graphics
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Versions of package r-cran-epitools |
Release | Version | Architectures |
stretch | 0.5-7-1 | all |
squeeze | 0.5-5-1 | all |
wheezy | 0.5-6-1 | all |
jessie | 0.5-7-1 | all |
buster | 0.5-10-2 | all |
bullseye | 0.5-10-2 | all |
sid | 0.5-10-2 | all |
Debtags of package r-cran-epitools: |
field | medicine |
interface | commandline |
role | program |
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License: DFSG free
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GNU R Tools for public health epidemiologists and data analysts.
Epitools provides numerical tools and programming solutions that
have been used and tested in real-world epidemiologic applications.
Many practical problems in the analysis of public health data
require programming or special software, and investigators in
different locations may duplicate programming efforts. Often,
simple analyses, such as the construction of confidence intervals,
are not calculated and thereby complicate appropriate statistical
inferences for small geographic areas. There are many examples of
simple and useful numerical tools that would enhance the work of
epidemiologists at local health departments and yet are not readily
available for the problem in front of them. The availability of
these tools will encourage wider use of appropriate methods and
promote evidence-based public health practices.
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R-cran-lexrankr
extractive summarization of text with the LexRank algorithm
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Versions of package r-cran-lexrankr |
Release | Version | Architectures |
bullseye | 0.5.2-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
sid | 0.5.2-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 0.5.0-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
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License: DFSG free
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An R implementation of the LexRank algorithm implementing stochastic
graph-based method for computing relative importance of textual units
for Natural Language Processing. The technique on the problem
of Text Summarization (TS) is tested. Extractive TS relies on the concept of
sentence salience to identify the most important sentences in a
document or set of documents. Salience is typically defined in terms of
the presence of particular important words or in terms of similarity to
a centroid pseudo-sentence.
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R-cran-seroincidence
GNU R seroincidence calculator tool
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Versions of package r-cran-seroincidence |
Release | Version | Architectures |
buster | 2.0.0-1 | all |
bullseye | 2.0.0-1 | all |
sid | 2.0.0-1 | all |
stretch | 1.0.5-1 | all |
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License: DFSG free
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Antibody levels measured in a cross-sectional population samples can be
translated into an estimate of the frequency with which seroconversions
(new infections) occur. In order to interpret the measured
cross-sectional antibody levels, parameters which predict the decay of
antibodies must be known. In previously published reports (Simonsen et
al. 2009 and Versteegh et al. 2005), this information has been obtained
from longitudinal studies on subjects who had culture-confirmed
Salmonella and Campylobacter infections. A Bayesian back-calculation
model was used to convert antibody measurements into an estimation of
time since infection. This can be used to estimate the seroincidence in
the cross-sectional sample of population. For both the longitudinal and
cross-sectional measurements of antibody concentrations, the indirect
ELISA was used. The models are only valid for persons over 18 years. The
seroincidence estimates are suitable for monitoring the effect of
control programmes when representative cross-sectional serum samples are
available for analyses. These provide more accurate information on the
infection pressure in humans across countries.
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R-cran-sf
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Versions of package r-cran-sf |
Release | Version | Architectures |
sid | 0.8-0+dfsg-3 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
bullseye | 0.8-0+dfsg-3 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 0.7-2+dfsg-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
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License: DFSG free
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Support for simple features, a standardized way to encode spatial vector
data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for
geometrical operations, and to 'PROJ' for projection conversions and
datum transformations.
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R-cran-sjplot
GNU R data visualization for statistics in social science
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Versions of package r-cran-sjplot |
Release | Version | Architectures |
bullseye | 2.7.1-1 | all |
sid | 2.7.1-1 | all |
buster | 2.6.2-1 | all |
upstream | 2.8.1 |
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License: DFSG free
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Collection of plotting and table output functions for data
visualization. Results of various statistical analyses (that are
commonly used in social sciences) can be visualized using this package,
including simple and cross tabulated frequencies, histograms, box plots,
(generalized) linear models, mixed effects models, principal component
analysis and correlation matrices, cluster analyses, scatter plots,
stacked scales, effects plots of regression models (including
interaction terms) and much more. This package supports labelled data.
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R-cran-surveillance
GNU R package for the Modeling and Monitoring of Epidemic Phenomena
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Versions of package r-cran-surveillance |
Release | Version | Architectures |
bullseye | 1.17.2-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
stretch | 1.13.0-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
squeeze | 1.2-1-1 (contrib) | amd64,i386 |
jessie | 1.8-0-1 | amd64,armel,armhf,i386 |
sid | 1.17.2-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
wheezy | 1.2-1-3 (contrib) | amd64,i386 |
buster | 1.16.2-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
Debtags of package r-cran-surveillance: |
field | medicine |
interface | commandline |
role | program |
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License: DFSG free
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Implementation of statistical methods for the modeling and change-point
detection in time series of counts, proportions and categorical data, as
well as for the modeling of continuous-time epidemic phenomena, e.g.,
discrete-space setups such as the spatially enriched
Susceptible-Exposed-Infectious-Recovered (SEIR) models, or
continuous-space point process data such as the occurrence of infectious
diseases. Main focus is on outbreak detection in count data time series
originating from public health surveillance of communicable diseases,
but applications could just as well originate from environmetrics,
reliability engineering, econometrics or social sciences.
Currently, the package contains implementations of many typical
outbreak detection procedures such as Farrington et al (1996), Noufaily
et al (2012) or the negative binomial LR-CUSUM method described in Höhle
and Paul (2008). A novel CUSUM approach combining logistic and
multinomial logistic modelling is also included. Furthermore, inference
methods for the retrospective infectious disease models in Held et al
(2005), Held et al (2006), Paul et al (2008), Paul and Held (2011), Held
and Paul (2012), and Meyer and Held (2014) are provided.
Continuous self-exciting spatio-temporal point processes are modeled
through additive-multiplicative conditional intensities as described in
Höhle (2009) ('twinSIR', discrete space) and Meyer et al (2012)
('twinstim', continuous space).
The package contains several real-world data sets, the ability to
simulate outbreak data, visualize the results of the monitoring in
temporal, spatial or spatio-temporal fashion.
Note: Using the 'boda' algorithm requires the 'INLA' package, which
is available from http://www.r-inla.org/download.
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Official Debian packages with lower relevance
R-cran-cmprsk
GNU R subdistribution analysis of competing risks
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Versions of package r-cran-cmprsk |
Release | Version | Architectures |
buster | 2.2-7-4 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
stretch | 2.2-7-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
sid | 2.2-9-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
bullseye | 2.2-9-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
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License: DFSG free
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This GNU R package supports estimation, testing and regression modeling
of subdistribution functions in competing risks, as described in Gray
(1988), A class of K-sample tests for comparing the cumulative incidence
of a competing risk.
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R-cran-msm
GNU R Multi-state Markov and hidden Markov models in continuous time
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Versions of package r-cran-msm |
Release | Version | Architectures |
squeeze | 0.9.7-1 | amd64,armel,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,sparc |
wheezy | 1.1-1 | amd64,armel,armhf,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,s390x,sparc |
sid | 1.6.7-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 1.6.6-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
bullseye | 1.6.7-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
stretch | 1.6.4-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
jessie | 1.4-2 | amd64,armel,armhf,i386 |
Debtags of package r-cran-msm: |
interface | commandline |
role | program |
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License: DFSG free
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Functions for fitting general continuous-time Markov and hidden Markov
multi-state models to longitudinal data. Both Markov transition rates and the
hidden Markov output process can be modelled in terms of covariates. A variety
of observation schemes are supported, including processes observed at arbitrary
times, completely-observed processes, and censored states.
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Packaging has started and developers might try the packaging code in VCS
Epifire
model the spread of an infectious disease in a population
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Versions of package epifire |
Release | Version | Architectures |
VCS | 3.34.0+dfsg-1 | all |
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License: BSD-3-clause
Debian package not available
Version: 3.34.0+dfsg-1
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EpiFire is a C++ applications programming interface (API) that does
two things:
- Model the spread of an infectious disease in a population
- Generate and manipulate networks of nodes and edges
While the network code can be used independently from the
epidemiological code and vice versa—they are conceptually and
functionally distinct—from the beginning, the libraries were developed
to be compatible with each other. What EpiFire excels at is simulating
the stochastic spread of disease on contact networks.
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Netepi-analysis
network-enabled tools for epidemiology and public health practice
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Versions of package netepi-analysis |
Release | Version | Architectures |
VCS | 0.9.0-2 | all |
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License: HACOS
Debian package not available
Version: 0.9.0-2
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NetEpi, which is short for "Network-enabled Epidemiology", is a
collaborative project to create a suite of free, open source software
tools for epidemiology and public health practice. Anyone with an
interest in population health epidemiology or public health
informatics is encouraged to examine the prototype tools and to
consider contributing to their further development. Contributions
which involve formal and/or informal testing of the tools in a wide
range of circumstances and environments are particularly welcome, as
is assistance with design, programming and documentation tasks.
This is a tool for conducting epidemiological analysis of data sets,
both large and small, either through a Web browser interface, or via
a programmatic interface. In many respects it is similar to the
analysis facilities included in the Epi Info suite, except that
NetEpi Analysis is designed to be installed on servers and accessed
remotely via Web browsers, although it can also be installed on
individual desktop or laptop computers.
The software was developed by New South Wales Department of Health.
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Netepi-collection
network-enabled tools for epidemiology and public health practice
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Versions of package netepi-collection |
Release | Version | Architectures |
VCS | 1.8.4-2 | all |
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License: HACOS
Debian package not available
Version: 1.8.4-2
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NetEpi, which is short for "Network-enabled Epidemiology", is a
collaborative project to create a suite of free, open source software
tools for epidemiology and public health practice. Anyone with an
interest in population health epidemiology or public health
informatics is encouraged to examine the prototype tools and to
consider contributing to their further development. Contributions
which involve formal and/or informal testing of the tools in a wide
range of circumstances and environments are particularly welcome, as
is assistance with design, programming and documentation tasks.
NetEpi Case Manager is a tool for securely collecting structured
information about cases and contacts of communicable (and other)
diseases through Web browsers and the Internet. New data collection
forms can be designed and deployed quickly by epidemiologists, using
a "point-and-click" interface, without the need for knowledge of or
training in any programming language. Data can then be collected from
users of the system, who can be located anywhere in the world, into a
centralised database. All that is needed by users of the system is a
relatively recent Web browser and an Internet connection ("NetEpi" is
short for "Network-enabled Epidemiology"). In many respects, NetEpi
Case Manager is like a Web-enabled version of the data entry
facilities in the very popular Epi Info suite of programmes published
by the US Centers for Disease Control and Prevention, and in the
Danish EpiData project, which is available for several languages. The
software was developed by the Centre for Epidemiology and Research of
the New South Wales Department of Health, with contributions from
Population Health Division of the Australian Government Department of
Health and Ageing.
The software was developed by New South Wales Department of Health.
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Shiny-server
put Shiny web apps online
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Versions of package shiny-server |
Release | Version | Architectures |
VCS | 1.5.6.875+dfsg-1 | all |
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License: AFFERO-3
Debian package not available
Version: 1.5.6.875+dfsg-1
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Shiny Server lets you put shiny web applications and interactive
documents online. Take your Shiny apps and share them with your
organization or the world.
Shiny Server lets you go beyond static charts, and lets you manipulate
the data. Users can sort, filter, or change assumptions in real-time.
Shiny server empower your users to customize your analysis for their
specific needs and extract more insight from the data.
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Ushahidi
web platform for information collection
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Versions of package ushahidi |
Release | Version | Architectures |
VCS | 2.7.4-1 | all |
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License: LGPL-3+
Debian package not available
Version: 2.7.4-1
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Ushahidi is a platform that allows information collection,
visualization and interactive mapping, allowing anyone to submit
information through text messaging using a mobile phone, email or web
form.
It can be used to monitor epidemic diseases, measuring the impact of
natural disasters, uncovering corruption, and empowering peace makers.
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No known packages available but some record of interest (WNPP bug)
framework for creating agent based simulations
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License: BSD
Debian package not available
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Repast Simphony is a free and open source agent-based modeling toolkit
that simplifies model creation and use. Repast Simphony offers users a
rich variety of features including the following:
- Fluid model component development using any mixture of Java, Groovy,
and flowcharts in each project;
- A pure Java point-and-click model execution environment that includes
built-in results logging and graphing tools as well as automated
connections to a variety of optional external tools including the R
statistics environment, *ORA and Pajek network analysis plugins, A
live agent SQL query tool plugin, the VisAD scientific visualization
package, the Weka data mining platform, many popular spreadsheets,
the MATLAB computational mathematics environment, and the iReport
visual report designer;
- An extremely flexible hierarchically nested definition of space
including the ability to do point-and-click and modeling and
visualization of 2D environments; 3D environments; networks including
full integration with the JUNG network modeling library as well as
Microsoft Excel spreadsheets and UCINET DL file importing; and
geographical spaces including 2D and 3D Geographical Information
Systems (GIS) support;
- A range of data storage "freeze dryers" for model check pointing
and restoration including XML file storage, text file storage, and
database storage;
- A fully concurrent multithreaded discrete event scheduler;
- Libraries for genetic algorithms, neural networks, regression, random
number generation, and specialized mathematics;
- An automated Monte Carlo simulation framework which supports multiple
modes of model results optimization;
- Built-in tools for integrating external models;
- Distributed computing with Terracotta;
- Full object-orientation;
- Optional end-to-end XML simulation
- A point-and-click model deployment system
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