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.

Documentation

Manual: pscl.pdf
Vignette: Regression Models for Count Data in R

Maintainer: Simon Jackman <jackman at stanford.edu>

Author(s): Simon Jackman, with contributions from Alex Tahk, Achim Zeileis, Christina Maimone and Jim Fearon

Install package and any missing dependencies by running this line in your R console:

install.packages("pscl")

Depends MASS, lattice
Imports
Suggests MCMCpack, car, lmtest, sandwich, zoo, coda, vcd, mvtnorm, mgcv
Enhances stats
Linking to

Package pscl
Materials
URL http://pscl.stanford.edu/
Task Views Bayesian , Econometrics , Environmetrics , Psychometrics , SocialSciences
Version 1.4.9
Published 2015-03-29
License GPL-2
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks pscl check results
Package source pscl_1.4.9.tar.gz