pscl (1.4.8)

Political Science Computational Laboratory, Stanford University.

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 at the Political Science Computational Laboratory; seats-votes curves.

Maintainer: Simon Jackman
Author(s): Simon Jackman, with contributions from Alex Tahk, Achim Zeileis, Christina Maimone and Jim Fearon

License: GPL-2

Uses: Does not use any package
Reverse depends: accelmissing, anominate, BSGS, BSPADATA, DAMisc, emIRT, IGG, lctools, MCMCglmm, oc, robustsae, wnominate
Reverse suggests: AER, agridat, AICcmodavg, countfitteR, dominanceanalysis, fence, ggeffects, glmmTMB, glmulti, glmx, googleVis, hnp, idealstan, insight, lsmeans, MuMIn, nonnest2, paleofire, parameters, performance, sandwich, scanstatistics, sjPlot, sjstats, ZIM
Reverse enhances: emmeans, MuMIn, prediction, stargazer, texreg

Released over 4 years ago.