Political Science Computational Laboratory, Stanford University

Documentation for package `pscl' version 0.54

betaHPD	Compute and optionally plot beta HDRs
bioChemists	Article production by graduate students in biochemistry Ph.D. programs
coef.hurdle	Summarzing Hurdle Regression Models for Count Data
coef.zeroinfl	Summarizing Zero-Inflated Regression Models for Count Data
densigamma	inverse-Gamma distribution
hurdle	Fit hurdle models to count data
igamma	inverse-Gamma distribution
igammaHDR	inverse-Gamma distribution
logLik.hurdle	Fit hurdle models to count data
logLik.zeroinfl	Zero-inflated regression models for count data
ntable	Nicely formatted tables
odTest	Likelihood ratio test for over-dispersion in count data
pigamma	inverse-Gamma distribution
predict.zeroinfl	Generate predictions from zero-inflated regression count models
predprob	Compute predicted probabilities from fitted models
predprob.glm	Predicted Probabilties for GLM Fits
predprob.zeroinfl	Predicted probabilities from zero-inflated regression models
print.hurdle	Fit hurdle models to count data
print.summary.hurdle	Summarzing Hurdle Regression Models for Count Data
print.summary.zeroinfl	Summarizing Zero-Inflated Regression Models for Count Data
print.zeroinfl	Zero-inflated regression models for count data
prussian	Prussian Army Horse Kick Data
qigamma	inverse-Gamma distribution
rigamma	inverse-Gamma distribution
summary.hurdle	Summarzing Hurdle Regression Models for Count Data
summary.zeroinfl	Summarizing Zero-Inflated Regression Models for Count Data
vuong	Vuong's non-nested hypothesis test
zeroinfl	Zero-inflated regression models for count data