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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")

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Version

Install

install.packages('pscl')

Monthly Downloads

43,631

Version

1.5.9

License

GPL-2

Issues

Pull Requests

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Repository

https://github.com/atahk/pscl

Maintainer

Last Published

January 31st, 2024

Functions in pscl (1.5.9)

Hurdle Models for Count Data Regression

Control Parameters for Hurdle Count Data Regression

constrain.legis

constrain legislators' ideal points in analysis of roll call data

convert entries in a rollcall matrix to binary form

Testing for the Presence of a Zero Hurdle

compute and optionally plot beta HDRs

rollcall object, National Journal key votes of 2007

analysis of educational testing data and roll call data with IRT models, via Markov chain Monte Carlo methods

extractRollCallObject

return the roll call object used in fitting an ideal model

drop unanimous votes from rollcall objects and matrices

U.S. Senate vote on the use of force against Iraq, 2002.

drop user-specified elements from a rollcall object

compute various pseudo-R2 measures

constrain.items

constrain item parameters in analysis of roll call data

plot.predict.ideal

plot methods for predictions from ideal objects

plots an ideal object

Table of Actual Outcomes against Predicted Outcomes for discrete data models

Prussian army horse kick data

political parties appearing in the U.S. Congress

read roll call data in Poole-Rosenthal KH format

predicted probabilities from an ideal object

predict.zeroinfl

Methods for zeroinfl Objects

add information about voting outcomes to a rollcall object

compute predicted probabilities from fitted models

Monte Carlo estimate of pi (3.14159265...)

plot.seatsVotes

plot seats-votes curves

convert an object of class ideal to a coda MCMC object

inverse-Gamma distribution

summary of an ideal object

presidentialElections

elections for U.S. President, 1932-2016, by state

remap MCMC output via affine transformations

votes from the United States Supreme Court, from 1994-1997

summary.rollcall

summarize a rollcall object

Zero-inflated Count Data Regression

create an object of class rollcall

information about the American states needed for U.S. Congress

predicted probabilities from fitting ideal to rollcall data

Predicted Probabilities for GLM Fits

trace plot of MCMC iterates, posterior density of legislators' ideal points

likelihood ratio test for over-dispersion in count data

rollcall object, 109th U.S. Senate (2005-06).

A class for creating seats-votes curves

Methods for hurdle Objects

nicely formatted tables

vectorRepresentation

convert roll call matrix to series of vectors

Vuong's non-nested hypothesis test

politicalInformation

Interviewer ratings of respondent levels of political information

cross national rates of trade union density

Reports of voting in the 1992 U.S. Presidential election.

zeroinfl.control

Control Parameters for Zero-inflated Count Data Regression

UKHouseOfCommons

1992 United Kingdom electoral returns

Batting Averages for 18 major league baseball players, 1970

Voter turnout experiment, using Rock The Vote ads

AustralianElections

elections to Australian House of Representatives, 1949-2016

AustralianElectionPolling

Political opinion polls in Australia, 2004-07

California Congressional Districts in 2006

article production by graduate students in biochemistry Ph.D. programs

Applications to a Political Science PhD Program

Absentee and Machine Ballots in Pennsylvania State Senate Races