| 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 |
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)