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