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pscl (version 1.04.4)

Political Science Computational Laboratory, Stanford University

Description

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.

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Version

Install

install.packages('pscl')

Monthly Downloads

27,194

Version

1.04.4

License

GPL-2

Maintainer

Simon Jackman

Last Published

June 13th, 2012

Functions in pscl (1.04.4)

summary.rollcall

summarize a rollcall object

Absentee and Machine Ballots in Pennsylvania State Senate Races

drop unanimous votes from rollcall objects and matrices

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

political parties appearing in the U.S. Congress

Vuong's non-nested hypothesis test

constrain.legis

constrain legislators' ideal points in analysis of roll call data

Applications to a Political Science PhD Program

convert an object of class ideal to a coda MCMC object

predicted probabilities from fitting ideal to rollcall data

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

predict.zeroinfl

Methods for zeroinfl Objects

drop user-specified elements from a rollcall object

plot.seatsVotes

plot seats-votes curves

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

plot.predict.ideal

plot methods for predictions from ideal objects

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

Table of Actual Outcomes against Predicted Outcomes for discrete data models

Monte Carlo estimate of pi (3.14159265...)

zeroinfl.control

Control Parameters for Zero-inflated Count Data Regression

read roll call data in Poole-Rosenthal KH format

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

nicely formatted tables

AustralianElections

elections to Australian House of Representatives, 1949-2007

AustralianElectionPolling

Political opinion polls in Australia, 2004-07

add information about voting outcomes to a rollcall object

extractRollCallObject

return the roll call object used in fitting an ideal model

Methods for hurdle Objects

plots an ideal object

Hurdle Models for Count Data Regression

Predicted Probabilties for GLM Fits

inverse-Gamma distribution

Voter turnout experiment, using Rock The Vote ads

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

predicted probabilities from an ideal object

compute predicted probabilities from fitted models

California Congressional Districts in 2006

Control Parameters for Hurdle Count Data Regression

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

summary of an ideal object

vectorRepresentation

convert roll call matrix to series of vectors

Testing for the Presence of a Zero Hurdle

likelihood ratio test for over-dispersion in count data

presidentialElections

elections for U.S. President, 1932-2008, by state

remap MCMC output via affine transformations

Prussian army horse kick data

cross national rates of trade union density

Batting Averages for 18 major league baseball players, 1970

constrain.items

constrain item parameters in analysis of roll call data

compute and optionally plot beta HDRs

convert entries in a rollcall matrix to binary form

UKHouseOfCommons

1992 United Kingdom electoral returns

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

compute various pseudo-R2 measures

politicalInformation

Interviewer ratings of respondent levels of political information

A class for creating seats-votes curves

create an object of class rollcall

Zero-inflated Count Data Regression