Political Science Computational Laboratory, Stanford University

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Documentation for package `pscl' version 0.61

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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
coef.hurdle summarize hurdle regression models for count data
coef.zeroinfl summary of zero-inflated regression models for count data
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
hurdle hurdle models for count data
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 hurdle models for count data
logLik.zeroinfl zero-inflated regression models for count data
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
plot1d plots an ideal object
plot2d plots an ideal object
postProcess remap MCMC output via affine transformations
predict.ideal predicted probabilities from an ideal object
predict.zeroinfl generate predictions from zero-inflated regression count models
predprob compute predicted probabilities from fitted models
predprob.glm Predicted Probabilties for GLM Fits
predprob.ideal predicted probabilities from fitting ideal to rollcall data
predprob.zeroinfl predicted probabilities from zero-inflated regression models
print.hurdle hurdle models for count data
print.predict.ideal predicted probabilities from an ideal object
print.summary.hurdle summarize hurdle regression models for count data
print.summary.rollcall summarize a rollcall object
print.summary.zeroinfl summary of zero-inflated regression models for count data
print.zeroinfl zero-inflated regression models for count data
prussian Prussian army horse kick data
qigamma inverse-Gamma distribution
readKH read roll call data in Poole-Rosenthal KH format
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
state.info information about the American states needed for U.S. Congress
summary.hurdle summarize hurdle regression models for count data
summary.ideal summary of an ideal object
summary.rollcall summarize a rollcall object
summary.zeroinfl summary of zero-inflated regression models for count data
tracex trace plot of MCMC iterates, posterior density of legislators' ideal points
unionDensity cross national rates of trade union density
vectorRepresentation convert roll call matrix to series of vectors
vuong Vuong's non-nested hypothesis test
zeroinfl zero-inflated regression models for count data