Applications to a Political Science PhD Program
Predicted Probabilties for GLM Fits
Interviewer ratings of respondent levels of political information
predicted probabilities from an ideal object
Zero-inflated Count Data Regression
California Congressional Districts in 2006
AustralianElectionPolling
Political opinion polls in Australia, 2004-07
Voter turnout experiment, using Rock The Vote ads
nicely formatted tables
analysis of educational testing data and roll call data with IRT models, via Markov
chain Monte Carlo methods
Batting Averages for 18 major league baseball players, 1970
drop unanimous votes from rollcall objects and matrices
create an object of class rollcall
likelihood ratio test for over-dispersion in count data
plots an ideal object
Methods for zeroinfl Objects
A class for creating seats-votes curves
Reports of voting in the 1992 U.S. Presidential election.
summarize a rollcall object
convert entries in a rollcall matrix to binary form
compute and optionally plot beta HDRs
drop user-specified elements from a rollcall object
Testing for the Presence of a Zero Hurdle
rollcall object, National Journal key votes of 2007
elections to Australian House of
Representatives, 1949-2007
constrain item parameters in analysis of roll call data
plot methods for predictions from ideal objects
Table of Actual Outcomes against Predicted Outcomes for discrete
data models
votes from the United States Supreme Court, from 1994-1997
convert an object of class ideal to a coda MCMC object
article production by graduate students in biochemistry Ph.D. programs
Control Parameters for Zero-inflated Count Data Regression
U.S. Senate vote on the use of force against Iraq, 2002.
predicted probabilities from fitting ideal to rollcall data
elections for U.S. President, 1932-2008, by state
rollcall object, 109th U.S. Senate (2005-06).
compute various pseudo-R2 measures
Hurdle Models for Count Data Regression
Methods for hurdle Objects
remap MCMC output via affine transformations
compute predicted probabilities from fitted models
1992 United Kingdom electoral returns
Monte Carlo estimate of pi (3.14159265...)
Control Parameters for Hurdle Count Data Regression
trace plot of MCMC iterates, posterior density of legislators'
ideal points
political parties appearing in the U.S. Congress
cross national rates of trade union density
convert roll call matrix to series of vectors
information about the American states needed for U.S. Congress
summary of an ideal object
Vuong's non-nested hypothesis test
add information about voting outcomes to a rollcall
object
Absentee and Machine Ballots in Pennsylvania State Senate Races
constrain legislators' ideal points in analysis of roll call data
return the roll call object used in fitting an ideal model
inverse-Gamma distribution
Prussian army horse kick data
read roll call data in Poole-Rosenthal KH format
plot seats-votes curves