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Description

Political Science Computational Laboratory.

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; seats-votes curves.

Political Science Computational Laboratory

Description

pscl is an R package providing classes, methods and test data for

  • Bayesian analysis of roll call data and other binary, item-response type data (e.g., from surveys or educational testing).

  • elementary Bayesian statistics

  • maximum likelihood estimation of zero-inflated and hurdle models for count data

  • utility functions

Historical note

The Political Science Computational Laboratory was the name of Simon Jackman's research group at Stanford University's Department of Political Science (2002-2014), where this package was first developed.

The hurdle and count data models were extensively re-written and updated by Achim Zeileis and Christian Kleiber.

Installation

Most users should use latest stable release of the package, which can be installed from CRAN by running

install.packages("pscl")

The development version can be installed directly from GitHub by running

install.packages("devtools") ## if not already installed
library(devtools)
install_github("atahk/pscl")
Metadata

Version

1.5.9

License

Unknown

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