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.

Imports: MASS, datasets, grDevices, graphics, stats, utils
Suggests: lattice, MCMCpack, car, lmtest, sandwich, zoo, coda, vcd, mvtnorm, mgcv
Published: 2023-05-10
Author: Simon Jackman, with contributions from Alex Tahk, Achim Zeileis, Christina Maimone, Jim Fearon and Zoe Meers
Maintainer: Simon Jackman <simon.jackman at>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Citation: pscl citation info
Materials: NEWS
In views: Bayesian, Econometrics, Environmetrics, Psychometrics
CRAN checks: pscl results


Reference manual: pscl.pdf
Vignettes: Regression Models for Count Data in R


Package source: pscl_1.5.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pscl_1.5.5.1.tgz, r-oldrel (arm64): pscl_1.5.5.1.tgz, r-release (x86_64): pscl_1.5.5.1.tgz, r-oldrel (x86_64): pscl_1.5.5.1.tgz
Old sources: pscl archive

Reverse dependencies:

Reverse depends: accelmissing, BSPADATA, emIRT, maczic, oc, robustsae, wnominate
Reverse imports: BayesDissolution, BayesSpec, countfitteR, Countr, CTSV, DEsingle, drugDemand, evinf, GLMpack, gWQS, HiCDCPlus, imprecise101, lctools, lefko3, Maaslin2, mbsts, MethReg, minb, mirTarRnaSeq, MLFS, ModTools, mpath, opticut, qgcomp, scRecover, scShapes, sdPrior, twosigma
Reverse suggests: AER, agridat, AICcmodavg, BFpack, broom.helpers, catdata, chantrics, DClusterm, domir, fence, ggeffects, ggstats, glmmTMB, glmtoolbox, glmulti, glmx, hnp, injurytools, insight, marginaleffects, modelsummary, nonnest2, parameters, performance, poissonreg, RESI, sandwich, scanstatistics, sjPlot, sjstats, splatter, stortingscrape, svyVGAM, ZIM
Reverse enhances: emmeans, MuMIn, prediction, stargazer


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