bggum: Bayesian Estimation of Generalized Graded Unfolding Model Parameters

Provides a Metropolis-coupled Markov chain Monte Carlo sampler, post-processing and parameter estimation functions, and plotting utilities for the generalized graded unfolding model of Roberts, Donoghue, and Laughlin (2000) <doi:10.1177/01466216000241001>.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: stats, graphics, Rcpp (≥ 0.12.14)
LinkingTo: Rcpp, RcppDist
Suggests: devtools, testthat, covr, knitr, rmarkdown, dplyr, tidyr
Published: 2020-01-19
Author: JBrandon Duck-Mayr ORCID iD [aut, cre], Jacob Montgomery [aut], Patrick Silva [ctb], Luwei Ying [ctb]
Maintainer: JBrandon Duck-Mayr <j.duckmayr at gmail.com>
BugReports: https://github.com/duckmayr/bggum/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/duckmayr/bggum
NeedsCompilation: yes
Materials: README
CRAN checks: bggum results

Downloads:

Reference manual: bggum.pdf
Vignettes: Bayesian Estimation of Generalized Graded Unfolding Model Parameters
Package source: bggum_1.0.2.tar.gz
Windows binaries: r-devel: bggum_1.0.2.zip, r-devel-gcc8: bggum_1.0.2.zip, r-release: bggum_1.0.2.zip, r-oldrel: bggum_1.0.2.zip
OS X binaries: r-release: bggum_1.0.2.tgz, r-oldrel: bggum_1.0.2.tgz
Old sources: bggum archive

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