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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.

Version: 0.2.2
Depends: R (≥ 3.5.0)
Imports: ggplot2 (≥ 3.0.0), coda (≥ 0.19.0), mcmcse (≥ 1.0.0), knitr (≥ 1.30), lifecycle
Suggests: testthat (≥ 3.0.0)
Published: 2024-07-12
DOI: 10.32614/CRAN.package.genMCMCDiag
Author: Luke Duttweiler ORCID iD [aut, cre, cph]
Maintainer: Luke Duttweiler <lduttweiler at hsph.harvard.edu>
BugReports: https://github.com/LukeDuttweiler/genMCMCDiag/issues
License: MIT + file LICENSE
URL: https://github.com/LukeDuttweiler/genMCMCDiag
NeedsCompilation: no
Materials: README NEWS
CRAN checks: genMCMCDiag results

Documentation:

Reference manual: genMCMCDiag.pdf

Downloads:

Package source: genMCMCDiag_0.2.2.tar.gz
Windows binaries: r-devel: genMCMCDiag_0.2.2.zip, r-release: genMCMCDiag_0.2.2.zip, r-oldrel: genMCMCDiag_0.2.2.zip
macOS binaries: r-release (arm64): genMCMCDiag_0.2.2.tgz, r-oldrel (arm64): genMCMCDiag_0.2.2.tgz, r-release (x86_64): genMCMCDiag_0.2.2.tgz, r-oldrel (x86_64): genMCMCDiag_0.2.2.tgz
Old sources: genMCMCDiag archive

Reverse dependencies:

Reverse imports: skipTrack

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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