Zelig: Everyone's Statistical Software

Zelig is an easy-to-use program that can estimate, and help interpret the results of, an enormous range of statistical models. It literally is “everyone's statistical software” because Zelig's simple unified framework incorporates everyone else's (R) code. We also hope it will become “everyone's statistical software” for applications and teaching, and so have designed Zelig so that anyone can easily use it or add their programs to it. Zelig also comes with infrastructure that facilitates the use of any existing method, such as by allowing multiply imputed data for any model, and mimicking the program Clarify (for Stata) that takes the raw output of existing statistical procedures and translates them into quantities of direct interest.

Version: 3.5.3
Depends: R (≥ 2.10), MASS, boot, stats
Suggests: VGAM (≥ 0.8-4), MCMCpack (≥ 0.8-2), mvtnorm, survival, sandwich (≥ 2.1-0), zoo (≥ 1.5-0), coda, nnet, sna, gee, systemfit, mgcv, lme4, anchors (≥ 2.0), survey, quantreg
Published: 2012-01-15
Author: Kosuke Imai, Gary King, Olivia Lau
Maintainer: Kosuke Imai <kimai at Princeton.Edu>
License: GPL (≥ 2)
URL: http://gking.harvard.edu/zelig
In views: Econometrics, Finance, SocialSciences
CRAN checks: Zelig results

Downloads:

Package source: Zelig_3.5.3.tar.gz
MacOS X binary: Zelig_3.5.3.tgz
Windows binary: Zelig_3.5.3.zip
Reference manual: Zelig.pdf
Vignettes: Bivariate Logistic Regression for Two Dichotomous Dependent Variables
Bivariate Probit Regression for Dichotomous Dependent Variables
Gamma Regression for Continuous, Positive Dependent Variables
Gamma mixed effects linear regression
Survey-Weighted Gamma Regression for Continuous, Positive Dependent Variables
Logistic Regression for Dichotomous Dependent Variables
Mixed effects logistic regression
Survey-Weighted Logistic Regression for Dichotomous Dependent Variables
Least Squares Regression for Continuous Dependent Variables
Mixed effects linear regression
Negative Binomial Regression for Event Count Dependent Variables
Survey-Weighted Normal Regression for Continuous Dependent Variables
Poisson Regression for Event Count Dependent Variables
Mixed effects poisson regression
Survey-Weighted Poisson Regression for Event Count Dependent Variables
Probit Regression for Dichotomous Dependent Variables
Mixed effects probit regression
Survey-Weighted Probit Regression for Dichotomous Dependent Variables
Weibull Regression for Duration Dependent Variables
Old sources: Zelig archive

Reverse dependencies:

Reverse depends: boolean
Reverse imports: boolean
Reverse suggests: accuracy, agridat, Amelia, mice