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| 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, 1949-2007 |
| 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 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 |
| presidentialElections | elections for U.S. President, 1932-2008, 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 |