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pscl (version 0.58)

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; data sets used in writing and teaching at PSCL

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Version

Install

install.packages('pscl')

Monthly Downloads

25,438

Version

0.58

License

GPL version 2 or newer

Maintainer

Simon Jackman

Last Published

January 31st, 2024

Functions in pscl (0.58)

convert entries in a rollcall matrix to binary form

Analysis of Roll Call Data (ideal point estimation or item-response modeling via Markov chain Monte Carlo methods)

Political parties appearing the U.S. Congress

plots an ideal object.

add information about voting outcomes to a rollcall object

cross national rates of trade union density

Vuong's non-nested hypothesis test

Read Roll Call Data from Poole-Rosenthal KH format

Trace Plot of Legislators' Ideal Points.

nicely formatted tables

Compute predicted probabilities from fitted models

AustralianElections

elections to Australian House of Representatives, 1949-2004

Plots 1 dimension of an ideal object

vectorRepresentation

convert roll call matrix to series of vectors

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

Create an object of class rollcall

constrain.items

constrain item parameters in analysis of roll call data

summary.rollcall

Summarize a rollcall object

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

Predicted Probabilties for GLM Fits

dropUnanimous.rollcall

drop unanimous votes from rollcall objects

oredicted orobabilities from an ideal object

summary.zeroinfl

summary of zero-inflated regression models for count data

predict.zeroinfl

Generate predictions from zero-inflated regression count models

predicted probabilities from fitting ideal to rollcall data

zero-inflated regression models for count data

drop user-specified elements from a rollcall object

Summarzing Hurdle Regression Models for Count Data

rollcall object, 109th U.S. Senate

Plots two dimensional summary of an ideal object

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

dropUnanimous.matrix

drop unanimous rollcalls from a roll call matrix

plot.predict.ideal

plot methods for predictions from ideal objects

extractRollCallObject

return the roll call object used in fitting an ideal model

hurdle models for count data

Prussian Army Horse Kick Data

Summarize an Ideal object

compute and optionally plot beta HDRs

constrain.legis

constrain legislators' ideal points in analysis of roll call data

drop unanimous votes from rollcall objects and matrices

predprob.zeroinfl

predicted probabilities from zero-inflated regression models

Likelihood ratio test for over-dispersion in count data

inverse-Gamma distribution

Convert and object of class ideal to an MCMC object