| absentee | Absentee and Machine Ballots in Pennsylvania State Senate Races | 
| admit | Applications to a Political Science PhD Program | 
| AustralianElectionPolling | Political opinion polls in Australia, 2004-07 | 
| AustralianElections | elections to Australian House of Representatives, 1949-2016 | 
| 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 | 
| EfronMorris | Batting Averages for 18 major league baseball players, 1970 | 
| extractAIC.hurdle | Methods for hurdle Objects | 
| extractAIC.zeroinfl | Methods for zeroinfl Objects | 
| extractRollCallObject | return the roll call object used in fitting an ideal model | 
| fitted.hurdle | Methods for hurdle Objects | 
| fitted.zeroinfl | Methods for zeroinfl Objects | 
| hitmiss | Table of Actual Outcomes against Predicted Outcomes for discrete data models | 
| hitmiss.glm | Table of Actual Outcomes against Predicted Outcomes for discrete data models | 
| hurdle | Hurdle Models for Count Data Regression | 
| hurdle.control | Control Parameters for Hurdle Count Data Regression | 
| hurdletest | Testing for the Presence of a Zero Hurdle | 
| ideal | analysis of educational testing data and roll call data with 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 | 
| iraqVote | U.S. Senate vote on the use of force against Iraq, 2002. | 
| 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 | 
| nj07 | rollcall object, National Journal key votes of 2007 | 
| 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 | 
| politicalInformation | Interviewer ratings of respondent levels of political information | 
| postProcess | remap MCMC output via affine transformations | 
| pR2 | compute various pseudo-R2 measures | 
| 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 Probabilities 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 | 
| presidentialElections | elections for U.S. President, 1932-2016, by state | 
| print.hurdle | Hurdle Models for Count Data Regression | 
| 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 | 
| RockTheVote | Voter turnout experiment, using Rock The Vote ads | 
| rollcall | create an object of class rollcall | 
| s109 | rollcall object, 109th U.S. Senate (2005-06). | 
| sc9497 | votes from the United States Supreme Court, from 1994-1997 | 
| seatsVotes | A class for creating seats-votes curves | 
| simpi | Monte Carlo estimate of pi (3.14159265...) | 
| 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 | 
| UKHouseOfCommons | 1992 United Kingdom electoral returns | 
| 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 | 
| vote92 | Reports of voting in the 1992 U.S. Presidential election. | 
| vuong | Vuong's non-nested hypothesis test | 
| zeroinfl | Zero-inflated Count Data Regression | 
| zeroinfl.control | Control Parameters for Zero-inflated Count Data Regression |