Source: r-cran-zelig
Maintainer: Debian R Packages Maintainers
Uploaders: Chris Lawrence
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-r,
r-base-dev,
r-cran-survival,
r-cran-aer,
r-cran-amelia,
r-cran-coda,
r-cran-dplyr,
r-cran-formula,
r-cran-geepack,
r-cran-jsonlite,
r-cran-sandwich,
r-cran-mass,
r-cran-matchit,
r-cran-maxlik,
r-cran-mcmcpack,
r-cran-quantreg,
r-cran-survey,
r-cran-vgam
Standards-Version: 4.5.1
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-zelig
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-zelig.git
Homepage: https://cran.r-project.org/package=Zelig
Rules-Requires-Root: no
Package: r-cran-zelig
Architecture: all
Depends: ${R:Depends},
${misc:Depends}
Recommends: ${R:Recommends}
Suggests: ${R:Suggests}
Description: GNU R package providing a unified front-end for estimating statistical models
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.