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