pscl1.5.9 package

Political Science Computational Laboratory

betaHPD

compute and optionally plot beta HDRs

computeMargins

add information about voting outcomes to a rollcall object

constrain.items

constrain item parameters in analysis of roll call data

constrain.legis

constrain legislators' ideal points in analysis of roll call data

convertCodes

convert entries in a rollcall matrix to binary form

dropRollCall

drop user-specified elements from a rollcall object

dropUnanimous

drop unanimous votes from rollcall objects and matrices

extractRollCallObject

return the roll call object used in fitting an ideal model

hitmiss

Table of Actual Outcomes against Predicted Outcomes for discrete data ...

hurdle.control

Control Parameters for Hurdle Count Data Regression

hurdle

Hurdle Models for Count Data Regression

hurdletest

Testing for the Presence of a Zero Hurdle

ideal

analysis of educational testing data and roll call data with IRT model...

idealToMCMC

convert an object of class ideal to a coda MCMC object

igamma

inverse-Gamma distribution

ntable

nicely formatted tables

odTest

likelihood ratio test for over-dispersion in count data

plot.ideal

plots an ideal object

plot.predict.ideal

plot methods for predictions from ideal objects

plot.seatsVotes

plot seats-votes curves

postProcess

remap MCMC output via affine transformations

pR2

compute various pseudo-R2 measures

predict.hurdle

Methods for hurdle Objects

predict.ideal

predicted probabilities from an ideal object

predict.zeroinfl

Methods for zeroinfl Objects

predprob.glm

Predicted Probabilities for GLM Fits

predprob.ideal

predicted probabilities from fitting ideal to rollcall data

predprob

compute predicted probabilities from fitted models

readKH

read roll call data in Poole-Rosenthal KH format

rollcall

create an object of class rollcall

seatsVotes

A class for creating seats-votes curves

simpi

Monte Carlo estimate of pi (3.14159265...)

summary.ideal

summary of an ideal object

summary.rollcall

summarize a rollcall object

tracex

trace plot of MCMC iterates, posterior density of legislators' ideal p...

vectorRepresentation

convert roll call matrix to series of vectors

vuong

Vuong's non-nested hypothesis test

zeroinfl.control

Control Parameters for Zero-inflated Count Data Regression

zeroinfl

Zero-inflated Count Data Regression

Bayesian analysis of item-response theory (IRT) models, roll call analysis; computing highest density regions; maximum likelihood estimation of zero-inflated and hurdle models for count data; goodness-of-fit measures for GLMs; data sets used in writing and teaching; seats-votes curves.