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