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.