return the roll call object used in fitting an ideal model
Voter turnout experiment, using Rock The Vote ads
remap MCMC output via affine transformations
inverse-Gamma distribution
nicely formatted tables
Testing for the Presence of a Zero Hurdle
convert entries in a rollcall matrix to binary form
AustralianElectionPolling
Political opinion polls in Australia, 2004-07
article production by graduate students in biochemistry Ph.D. programs
Prussian army horse kick data
drop user-specified elements from a rollcall object
votes from the United States Supreme Court, from 1994-1997
plots an ideal object
Batting Averages for 18 major league baseball players, 1970
read roll call data in Poole-Rosenthal KH format
Hurdle Models for Count Data Regression
plot seats-votes curves
elections to Australian House of
Representatives, 1949-2007
information about the American states needed for U.S. Congress
Methods for zeroinfl Objects
summarize a rollcall object
compute predicted probabilities from fitted models
Interviewer ratings of respondent levels of political information
summary of an ideal object
Methods for hurdle Objects
constrain item parameters in analysis of roll call data
Table of Actual Outcomes against Predicted Outcomes for discrete
data models
Control Parameters for Hurdle Count Data Regression
1992 United Kingdom electoral returns
plot methods for predictions from ideal objects
Zero-inflated Count Data Regression
cross national rates of trade union density
drop unanimous votes from rollcall objects and matrices
trace plot of MCMC iterates, posterior density of legislators'
ideal points
elections for U.S. President, 1932-2012, by state
Applications to a Political Science PhD Program
add information about voting outcomes to a rollcall
object
Absentee and Machine Ballots in Pennsylvania State Senate Races
compute various pseudo-R2 measures
Predicted Probabilties for GLM Fits
Reports of voting in the 1992 U.S. Presidential election.
Vuong's non-nested hypothesis test
constrain legislators' ideal points in analysis of roll call data
California Congressional Districts in 2006
analysis of educational testing data and roll call data with IRT models, via Markov
chain Monte Carlo methods
U.S. Senate vote on the use of force against Iraq, 2002.
rollcall object, National Journal key votes of 2007
predicted probabilities from fitting ideal to rollcall data
predicted probabilities from an ideal object
rollcall object, 109th U.S. Senate (2005-06).
A class for creating seats-votes curves
likelihood ratio test for over-dispersion in count data
convert roll call matrix to series of vectors
Monte Carlo estimate of pi (3.14159265...)
compute and optionally plot beta HDRs
convert an object of class ideal to a coda MCMC object
create an object of class rollcall
political parties appearing in the U.S. Congress
Control Parameters for Zero-inflated Count Data Regression