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