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