Package: bggum 1.0.2.9000

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>.

Authors:JBrandon Duck-Mayr [aut, cre], Jacob Montgomery [aut], Patrick Silva [ctb], Luwei Ying [ctb]

bggum_1.0.2.9000.tar.gz
bggum_1.0.2.9000.zip(r-4.7)bggum_1.0.2.9000.zip(r-4.6)bggum_1.0.2.9000.zip(r-4.5)
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bggum_1.0.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bggum/json (API)

# Install 'bggum' in R:
install.packages('bggum', repos = c('https://duckmayr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/duckmayr/bggum/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

4.78 score 4 stars 4 scripts 190 downloads 11 exports 3 dependencies

Last updated from:894cdf59d4. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK154
linux-devel-x86_64OK162
source / vignettesOK239
linux-release-arm64OK185
linux-release-x86_64OK163
macos-release-arm64OK150
macos-release-x86_64OK319
macos-oldrel-arm64OK237
macos-oldrel-x86_64OK418
windows-develOK162
windows-releaseOK134
windows-oldrelOK137
wasm-releaseOK213

Exports:ggum_simulationggumMC3ggumMCMCggumProbabilityiccirfokabe_itopost_processtangotune_proposalstune_temperatures

Dependencies:RcppRcppArmadilloRcppDist

Bayesian Estimation of Generalized Graded Unfolding Model Parameters

Rendered frombggum.Rmdusingknitr::rmarkdownon Jun 03 2026.

Last update: 2020-01-08
Started: 2019-12-13