Bayesian analysis of item-response theory (IRT) models, roll call analysis; computing highest density regions; maximum likelihood estimation of zero-inflated and hurdle models for count data; goodness-of-fit measures for GLMs; data sets used in writing and teaching at the Political Science Computational Laboratory; seats-votes curves.
|Author||Simon Jackman, with contributions from Alex Tahk, Achim Zeileis, Christina Maimone and Jim Fearon|
|Date of publication||2015-03-29 11:23:22|
|Maintainer||Simon Jackman <firstname.lastname@example.org>|
absentee: Absentee and Machine Ballots in Pennsylvania State Senate...
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....
ca2006: California Congressional Districts in 2006
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...
convertCodes: convert entries in a rollcall matrix to binary form
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
extractRollCallObject: return the roll call object used in fitting an ideal model
hitmiss: Table of Actual Outcomes against Predicted Outcomes for...
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...
idealToMCMC: convert an object of class ideal to a coda MCMC object
igamma: inverse-Gamma distribution
iraqVote: U.S. Senate vote on the use of force against Iraq, 2002.
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
plot.ideal: plots an ideal object
plot.predict.ideal: plot methods for predictions from ideal objects
plot.seatsVotes: plot seats-votes curves
politicalInformation: Interviewer ratings of respondent levels of political...
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.ideal: predicted probabilities from fitting ideal to rollcall data
presidentialElections: elections for U.S. President, 1932-2012, by state
prussian: Prussian army horse kick data
readKH: read roll call data in Poole-Rosenthal KH format
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....
summary.ideal: summary of an ideal object
summary.rollcall: summarize a rollcall object
tracex: trace plot of MCMC iterates, posterior density of...
UKHouseOfCommons: 1992 United Kingdom electoral returns
unionDensity: cross national rates of trade union density
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