compute and optionally plot beta HDRs
return the roll call object used in fitting an ideal model
convert entries in a rollcall matrix to binary form
constrain item parameters in analysis of roll call data
summary of an ideal object
article production by graduate students in biochemistry Ph.D. programs
create an object of class rollcall
predicted probabilities from an ideal object
inverse-Gamma distribution
California Congressional Districts in 2006
votes from the United States Supreme Court, from 1994-1997
likelihood ratio test for over-dispersion in count data
A class for creating seats-votes curves
constrain legislators' ideal points in analysis of roll call data
predicted probabilities from fitting ideal to rollcall data
rollcall object, 109th U.S. Senate
plot methods for predictions from ideal objects
compute predicted probabilities from fitted models
summarize a rollcall object
convert an object of class ideal to a coda MCMC object
convert roll call matrix to series of vectors
read roll call data in Poole-Rosenthal KH format
plot seats-votes curves
cross national rates of trade union density
Zero-inflated Count Data Regression
Control Parameters for Zero-inflated Count Data Regression
drop unanimous votes from rollcall objects and matrices
analysis of roll call data (IRT models) via Markov
chain Monte Carlo methods
Methods for zeroinfl Objects
plots an ideal object
Predicted Probabilties for GLM Fits
nicely formatted tables
elections to Australian House of
Representatives, 1949-2004
information about the American states needed for U.S. Congress
Hurdle Models for Count Data Regression
Vuong's non-nested hypothesis test
Control Parameters for Hurdle Count Data Regression
political parties appearing in the U.S. Congress
Prussian army horse kick data
drop user-specified elements from a rollcall object
Methods for hurdle Objects
remap MCMC output via affine transformations
trace plot of MCMC iterates, posterior density of legislators'
ideal points
add information about voting outcomes to a rollcall
object