Political Science Computational Laboratory, Stanford University

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Documentation for package `pscl' version 0.73

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AustralianElections elections to Australian House of Representatives, 1949-2004
betaHPD compute and optionally plot beta HDRs
bioChemists article production by graduate students in biochemistry Ph.D. programs
ca2006 California Congressional Districts in 2006
coef.hurdle Methods for hurdle Objects
coef.zeroinfl Methods for zeroinfl Objects
computeMargins add information about voting outcomes to a rollcall object
constrain.items constrain item parameters in analysis of roll call data
constrain.legis constrain legislators' ideal points in analysis of roll call data
convertCodes convert entries in a rollcall matrix to binary form
densigamma inverse-Gamma distribution
dropRollCall drop user-specified elements from a rollcall object
dropUnanimous drop unanimous votes from rollcall objects and matrices
extractRollCallObject return the roll call object used in fitting an ideal model
fitted.hurdle Methods for hurdle Objects
fitted.zeroinfl Methods for zeroinfl Objects
hurdle Hurdle Models for Count Data Regression
hurdle.control Control Parameters for Hurdle Count Data Regression
ideal analysis of roll call data (IRT models) via Markov chain Monte Carlo methods
idealToMCMC convert an object of class ideal to a coda MCMC object
igamma inverse-Gamma distribution
igammaHDR inverse-Gamma distribution
logLik.hurdle Methods for hurdle Objects
logLik.zeroinfl Methods for zeroinfl Objects
model.matrix.hurdle Methods for hurdle Objects
model.matrix.zeroinfl Methods for zeroinfl Objects
ntable nicely formatted tables
odTest likelihood ratio test for over-dispersion in count data
partycodes political parties appearing in the U.S. Congress
pigamma inverse-Gamma distribution
plot.ideal plots an ideal object
plot.predict.ideal plot methods for predictions from ideal objects
plot.seatsVotes plot seats-votes curves
plot1d plots an ideal object
plot2d plots an ideal object
postProcess remap MCMC output via affine transformations
predict.hurdle Methods for hurdle Objects
predict.ideal predicted probabilities from an ideal object
predict.zeroinfl Methods for zeroinfl Objects
predprob compute predicted probabilities from fitted models
predprob.glm Predicted Probabilties for GLM Fits
predprob.hurdle Methods for hurdle Objects
predprob.ideal predicted probabilities from fitting ideal to rollcall data
predprob.zeroinfl Methods for zeroinfl Objects
print.predict.ideal predicted probabilities from an ideal object
print.summary.hurdle Methods for hurdle Objects
print.summary.rollcall summarize a rollcall object
print.summary.zeroinfl Methods for zeroinfl Objects
print.zeroinfl Zero-inflated Count Data Regression
prussian Prussian army horse kick data
qigamma inverse-Gamma distribution
readKH read roll call data in Poole-Rosenthal KH format
residuals.hurdle Methods for hurdle Objects
residuals.zeroinfl Methods for zeroinfl Objects
rigamma inverse-Gamma distribution
rollcall create an object of class rollcall
s109 rollcall object, 109th U.S. Senate
sc9497 votes from the United States Supreme Court, from 1994-1997
seatsVotes A class for creating seats-votes curves
state.info information about the American states needed for U.S. Congress
summary.hurdle Methods for hurdle Objects
summary.ideal summary of an ideal object
summary.rollcall summarize a rollcall object
summary.zeroinfl Methods for zeroinfl Objects
terms.hurdle Methods for hurdle Objects
terms.zeroinfl Methods for zeroinfl Objects
tracex trace plot of MCMC iterates, posterior density of legislators' ideal points
unionDensity cross national rates of trade union density
vcov.hurdle Methods for hurdle Objects
vcov.zeroinfl Methods for zeroinfl Objects
vectorRepresentation convert roll call matrix to series of vectors
vuong Vuong's non-nested hypothesis test
zeroinfl Zero-inflated Count Data Regression
zeroinfl.control Control Parameters for Zero-inflated Count Data Regression