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]

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bggum/json (API)

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

Peer review:

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

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

On CRAN:

4.78 score 4 stars 6 scripts 177 downloads 11 exports 3 dependencies

Last updated 5 years agofrom:894cdf59d4. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-win-x86_64OKNov 03 2024
R-4.5-linux-x86_64OKNov 03 2024
R-4.4-win-x86_64OKNov 03 2024
R-4.4-mac-x86_64OKNov 03 2024
R-4.4-mac-aarch64OKNov 03 2024
R-4.3-win-x86_64OKNov 03 2024
R-4.3-mac-x86_64OKNov 03 2024
R-4.3-mac-aarch64OKNov 03 2024

Exports:ggum_simulationggumMC3ggumMCMCggumProbabilityiccirfokabe_itopost_processtangotune_proposalstune_temperatures

Dependencies:RcppRcppArmadilloRcppDist

Bayesian Estimation of Generalized Graded Unfolding Model Parameters

Rendered frombggum.Rmdusingknitr::rmarkdownon Nov 03 2024.

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