Package: genMCMCDiag 0.2.2.9000

Luke Duttweiler

genMCMCDiag: Generalized Convergence Diagnostics for Difficult MCMC Algorithms

Trace plots and convergence diagnostics for Markov Chain Monte Carlo (MCMC) algorithms on highly multivariate or unordered spaces. Methods outlined in a forthcoming paper.

Authors:Luke Duttweiler [aut, cre, cph]

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genMCMCDiag.pdf |genMCMCDiag.html
genMCMCDiag/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/lukeduttweiler/genmcmcdiag/issues

Datasets:
  • bnMCMCResults - Results from a Bayesian Network MCMC algorithm on simulated data
  • uniMCMCResults - Results from a univariate MCMC algorithm on a simulated posterior

On CRAN:

4.13 score 1 packages 3 scripts 202 downloads 4 exports 55 dependencies

Last updated 4 months agofrom:15d6c48bd8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winOKNov 09 2024
R-4.5-linuxOKNov 09 2024
R-4.4-winOKNov 09 2024
R-4.4-macOKNov 09 2024
R-4.3-winOKNov 09 2024
R-4.3-macOKNov 09 2024

Exports:eucDistgenDiagnostichammingDistpartitionDist

Dependencies:briocallrclicodacolorspacecrayondescdiffobjdigestellipseevaluatefansifarverfftwtoolsfsggplot2gluegtablehighrisobandjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmcmcsemgcvmunsellnlmepillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6RColorBrewerRcppRcppArmadillorlangrprojrootscalestestthattibbleutf8vctrsviridisLitewaldowithrxfunyaml