Package: mcmcOutput 0.1.3
mcmcOutput: Functions to Store, Manipulate and Display Markov Chain Monte Carlo (MCMC) Output
Implements a class ('mcmcOutput') for efficiently storing and handling Markov chain Monte Carlo (MCMC) output, intended as an aid for those writing customized MCMC samplers. A range of constructor methods are provided covering common output formats. Functions are provided to generate summary and diagnostic statistics and to display histograms or density plots of posterior distributions, for the entire output, or subsets of draws, nodes, or parameters.
Authors:
mcmcOutput_0.1.3.tar.gz
mcmcOutput_0.1.3.zip(r-4.5)mcmcOutput_0.1.3.zip(r-4.4)mcmcOutput_0.1.3.zip(r-4.3)
mcmcOutput_0.1.3.tgz(r-4.4-any)mcmcOutput_0.1.3.tgz(r-4.3-any)
mcmcOutput_0.1.3.tar.gz(r-4.5-noble)mcmcOutput_0.1.3.tar.gz(r-4.4-noble)
mcmcOutput_0.1.3.tgz(r-4.4-emscripten)mcmcOutput_0.1.3.tgz(r-4.3-emscripten)
mcmcOutput.pdf |mcmcOutput.html✨
mcmcOutput/json (API)
NEWS
# Install 'mcmcOutput' in R: |
install.packages('mcmcOutput', repos = c('https://mikemeredith.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mikemeredith/mcmcoutput/issues
- mcmcListExample - An object of class 'mcmc.list' produced by 'rjags::coda.samples'
Last updated 2 years agofrom:dd8426a39c. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | NOTE | Nov 20 2024 |
R-4.5-linux | NOTE | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:acfPlotbigCrosscorrcrosscorrPlotdensityFoldeddensityPlotdiagPlotdiscrepancyPlotgetMCEgetNeffgetRhatmcmcOutputpostPlotpostPriorOverlapsumryListtracePlot
Dependencies:codaHDIntervallatticeMASS
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Cross-correlations for MCMC output | bigCrosscorr |
Plot image of correlation matrix | crosscorrPlot |
Folded kernel density estimation | densityFolded |
Diagnostic graphics for class 'mcmcOutput' | acfPlot densityPlot diagPlot tracePlot |
Graphic comparison of observed vs simulated discrepancies | discrepancyPlot |
Get diagnostic statistics | getMCE getNeff getRhat |
An object of class 'mcmc.list' produced by 'rjags::coda.samples' | mcmcListExample |
Conversion to class 'mcmcOutput' | mcmcOutput mcmcOutput-class mcmcOutput.bugs mcmcOutput.data.frame mcmcOutput.default mcmcOutput.jagsUI mcmcOutput.matrix mcmcOutput.mcmc mcmcOutput.mcmc.list mcmcOutput.rjags mcmcOutput.runjags |
Graphic display of marginal posterior probability distributions | plot.mcmcOutput postPlot |
Overlap between posterior and prior probability distributions. | postPriorOverlap |
Print and summary methods for objects of class 'mcmcOutput' | print.mcmcOutput summary.mcmcOutput sumryList |
Subsetting chains for 'mcmcOutput' objects | window.mcmcOutput |