pscl: Political Science Computational Laboratory

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.

Version: 1.5.5
Imports: MASS, datasets, grDevices, graphics, stats, utils
Suggests: lattice, MCMCpack, car, lmtest, sandwich, zoo, coda, vcd, mvtnorm, mgcv
Published: 2020-03-07
Author: Simon Jackman, with contributions from Alex Tahk, Achim Zeileis, Christina Maimone, Jim Fearon and Zoe Meers
Maintainer: Simon Jackman <simon.jackman at sydney.edu.au>
License: GPL-2
Copyright: see file COPYRIGHTS
URL: http://github.com/atahk/pscl
NeedsCompilation: yes
Citation: pscl citation info
Materials: NEWS
In views: Bayesian, Econometrics, Environmetrics, Psychometrics, SocialSciences
CRAN checks: pscl results

Downloads:

Reference manual: pscl.pdf
Vignettes: Regression Models for Count Data in R
Package source: pscl_1.5.5.tar.gz
Windows binaries: r-devel: pscl_1.5.5.zip, r-release: pscl_1.5.5.zip, r-oldrel: pscl_1.5.5.zip
macOS binaries: r-release: pscl_1.5.5.tgz, r-oldrel: pscl_1.5.5.tgz
Old sources: pscl archive

Reverse dependencies:

Reverse depends: accelmissing, anominate, BSGS, BSPADATA, emIRT, IGG, mbsts, oc, robustsae, wnominate
Reverse imports: BayesSpec, countfitteR, Countr, DEsingle, fakeR, GLMpack, gWQS, lctools, Maaslin2, MethReg, mpath, NormalBetaPrime, opticut, qgcomp, scRecover, sdPrior
Reverse suggests: AER, agridat, AICcmodavg, BFpack, catdata, DClusterm, dominanceanalysis, effectsize, fence, ggeffects, glmmTMB, glmulti, glmx, hnp, insight, nonnest2, paleofire, parameters, performance, poissonreg, sandwich, sjPlot, sjstats, splatter, svyVGAM, ZIM
Reverse enhances: emmeans, MuMIn, prediction, stargazer

Linking:

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