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: 1.4.9
Depends: MASS, lattice
Suggests: MCMCpack, car, lmtest, sandwich, zoo, coda, vcd, mvtnorm, mgcv
Enhances: stats
Published: 2015-03-29
Author: Simon Jackman, with contributions from Alex Tahk, Achim Zeileis, Christina Maimone and Jim Fearon
Maintainer: Simon Jackman <jackman at>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Citation: pscl citation info
Materials: README NEWS
In views: Bayesian, Econometrics, Environmetrics, Psychometrics, SocialSciences
CRAN checks: pscl results


Reference manual: pscl.pdf
Vignettes: Regression Models for Count Data in R
Package source: pscl_1.4.9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: pscl_1.4.9.tgz, r-oldrel: pscl_1.4.9.tgz
Old sources: pscl archive

Reverse dependencies:

Reverse depends: accelmissing, anominate, BSGS, emIRT, lctools, oc, robustsae, wnominate
Reverse imports: ashr, BANFF, DAMisc, fakeR, mpath, opticut
Reverse suggests: AER, agridat, AICcmodavg, catdata, glmulti, glmx, hnp, lsmeans, paleofire, scanstatistics
Reverse enhances: MuMIn, stargazer, texreg


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