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