pscl: Political Science Computational Laboratory, Stanford University

Bayesian analysis of item-response theory (IRT) models, roll call analysis; computing highest density regions; maximum likelihood estimation of zero-inflated and hurdle models for count data; goodness-of-fit measures for GLMs; data sets used in writing and teaching at the Political Science Computational Laboratory; seats-votes curves.

Version: 0.95
Depends: R (≥ 2.3.0), MASS, stats, mvtnorm, coda
Suggests: MCMCpack, car, lmtest, sandwich, zoo
Enhances: stats, MASS
Date: 2008-03-20
Author: Simon Jackman, with contributions from Alex Tahk, Achim Zeileis, Christina Maimone and Jim Fearon
Maintainer: Simon Jackman <jackman at stanford.edu>
License: GPL-2
URL: http://pscl.stanford.edu/
In views: Econometrics, Environmetrics, SocialSciences
CRAN checks: pscl results

Downloads:

Package source: pscl_0.95.tar.gz
MacOS X binary: pscl_0.95.tgz
Windows binary: pscl_0.95.zip
Reference manual: pscl.pdf
Vignettes: Regression Models for Count Data in R
Old sources: pscl archive