Package: genMCMCDiag 0.2.3.9000

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]

genMCMCDiag_0.2.3.9000.tar.gz
genMCMCDiag_0.2.3.9000.zip(r-4.5)genMCMCDiag_0.2.3.9000.zip(r-4.4)genMCMCDiag_0.2.3.9000.zip(r-4.3)
genMCMCDiag_0.2.3.9000.tgz(r-4.5-any)genMCMCDiag_0.2.3.9000.tgz(r-4.4-any)genMCMCDiag_0.2.3.9000.tgz(r-4.3-any)
genMCMCDiag_0.2.3.9000.tar.gz(r-4.5-noble)genMCMCDiag_0.2.3.9000.tar.gz(r-4.4-noble)
genMCMCDiag_0.2.3.9000.tgz(r-4.4-emscripten)genMCMCDiag_0.2.3.9000.tgz(r-4.3-emscripten)
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'))

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:

Conda:

3.48 score 1 packages 3 scripts 258 downloads 4 exports 55 dependencies

Last updated 3 months agofrom:db0eb90959. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winOKMar 10 2025
R-4.5-macOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-winOKMar 10 2025
R-4.4-macOKMar 10 2025
R-4.4-linuxOKMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

Exports:eucDistgenDiagnostichammingDistpartitionDist

Dependencies:briocallrclicodacolorspacecrayondescdiffobjdigestellipseevaluatefansifarverfftwtoolsfsggplot2gluegtablehighrisobandjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmcmcsemgcvmunsellnlmepillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6RColorBrewerRcppRcppArmadillorlangrprojrootscalestestthattibbleutf8vctrsviridisLitewaldowithrxfunyaml