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: 1.04.4
Depends: R (≥ 2.10.0), MASS, stats, mvtnorm, coda, gam, vcd
Imports: lattice
Suggests: MCMCpack, car, lmtest, sandwich, zoo
Enhances: stats, MASS
Published: 2012-06-13
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/
NeedsCompilation: yes
Citation: pscl citation info
Materials: README NEWS
In views: Bayesian, Econometrics, Environmetrics, Psychometrics, SocialSciences
CRAN checks: pscl results

Downloads:

Reference manual: pscl.pdf
Vignettes: Regression Models for Count Data in R
Package source: pscl_1.04.4.tar.gz
Windows binaries: r-devel: pscl_1.04.4.zip, r-release: pscl_1.04.4.zip, r-oldrel: pscl_1.04.4.zip
OS X Snow Leopard binaries: r-release: pscl_1.04.4.tgz, r-oldrel: pscl_1.04.4.tgz
OS X Mavericks binaries: r-release: pscl_1.04.4.tgz
Old sources: pscl archive

Reverse dependencies:

Reverse depends: anominate, DAMisc, oc, wnominate
Reverse imports: BayesNetDiscovery, paleofire
Reverse suggests: AER, AICcmodavg, catdata, glmulti, glmx
Reverse enhances: MuMIn, stargazer