compute and optionally plot beta HDRs
AustralianElectionPolling
Political opinion polls in Australia, 2004-07
convert entries in a rollcall matrix to binary form
1992 United Kingdom electoral returns
constrain legislators' ideal points in analysis of roll call data
constrain item parameters in analysis of roll call data
elections to Australian House of
Representatives, 1949-2016
add information about voting outcomes to a rollcall
object
drop user-specified elements from a rollcall object
U.S. Senate vote on the use of force against Iraq, 2002.
convert an object of class ideal to a coda MCMC object
rollcall object, National Journal key votes of 2007
Absentee and Machine Ballots in Pennsylvania State Senate Races
drop unanimous votes from rollcall objects and matrices
article production by graduate students in biochemistry Ph.D. programs
Methods for hurdle Objects
California Congressional Districts in 2006
Batting Averages for 18 major league baseball players, 1970
information about the American states needed for U.S. Congress
Hurdle Models for Count Data Regression
remap MCMC output via affine transformations
Monte Carlo estimate of pi (3.14159265...)
return the roll call object used in fitting an ideal model
Testing for the Presence of a Zero Hurdle
Voter turnout experiment, using Rock The Vote ads
inverse-Gamma distribution
analysis of educational testing data and roll call data with IRT models, via Markov
chain Monte Carlo methods
compute predicted probabilities from fitted models
Control Parameters for Hurdle Count Data Regression
nicely formatted tables
convert roll call matrix to series of vectors
Reports of voting in the 1992 U.S. Presidential election.
compute various pseudo-R2 measures
plots an ideal object
plot methods for predictions from ideal objects
summary of an ideal object
predicted probabilities from an ideal object
Interviewer ratings of respondent levels of political information
likelihood ratio test for over-dispersion in count data
Table of Actual Outcomes against Predicted Outcomes for discrete
data models
Methods for zeroinfl Objects
predicted probabilities from fitting ideal to rollcall data
political parties appearing in the U.S. Congress
Predicted Probabilities for GLM Fits
rollcall object, 109th U.S. Senate (2005-06).
plot seats-votes curves
elections for U.S. President, 1932-2016, by state
Prussian army horse kick data
summarize a rollcall object
Zero-inflated Count Data Regression
create an object of class rollcall
A class for creating seats-votes curves
Vuong's non-nested hypothesis test
trace plot of MCMC iterates, posterior density of legislators'
ideal points
Control Parameters for Zero-inflated Count Data Regression
cross national rates of trade union density
votes from the United States Supreme Court, from 1994-1997
read roll call data in Poole-Rosenthal KH format
Applications to a Political Science PhD Program