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]

genMCMCDiag_0.2.2.9000.tar.gz
genMCMCDiag_0.2.2.9000.zip(r-4.5)genMCMCDiag_0.2.2.9000.zip(r-4.4)genMCMCDiag_0.2.2.9000.zip(r-4.3)
genMCMCDiag_0.2.2.9000.tgz(r-4.4-any)genMCMCDiag_0.2.2.9000.tgz(r-4.3-any)
genMCMCDiag_0.2.2.9000.tar.gz(r-4.5-noble)genMCMCDiag_0.2.2.9000.tar.gz(r-4.4-noble)
genMCMCDiag_0.2.2.9000.tgz(r-4.4-emscripten)genMCMCDiag_0.2.2.9000.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'))

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 exports 1.59 score 56 dependencies 1 dependents 3 scripts 236 downloads

Last updated 2 months agofrom:15d6c48bd8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winOKSep 10 2024
R-4.5-linuxOKSep 10 2024
R-4.4-winOKSep 10 2024
R-4.4-macOKSep 10 2024
R-4.3-winOKSep 10 2024
R-4.3-macOKSep 10 2024

Exports:eucDistgenDiagnostichammingDistpartitionDist

Dependencies:briocallrclicodacolorspacecrayondescdiffobjdigestellipseevaluatefansifarverfftwtoolsfsggplot2gluegtablehighrisobandjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmcmcsemgcvmunsellnlmepillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6RColorBrewerRcppRcppArmadillorematch2rlangrprojrootscalestestthattibbleutf8vctrsviridisLitewaldowithrxfunyaml