Package: bfw 0.4.2
Øystein Olav Skaar
bfw: Bayesian Framework for Computational Modeling
Derived from the work of Kruschke (2015, <ISBN:9780124058880>), the present package aims to provide a framework for conducting Bayesian analysis using Markov chain Monte Carlo (MCMC) sampling utilizing the Just Another Gibbs Sampler ('JAGS', Plummer, 2003, <https://mcmc-jags.sourceforge.io>). The initial version includes several modules for conducting Bayesian equivalents of chi-squared tests, analysis of variance (ANOVA), multiple (hierarchical) regression, softmax regression, and for fitting data (e.g., structural equation modeling).
Authors:
bfw_0.4.2.tar.gz
bfw_0.4.2.tar.gz(r-4.5-noble)bfw_0.4.2.tar.gz(r-4.4-noble)
bfw_0.4.2.tgz(r-4.4-emscripten)bfw_0.4.2.tgz(r-4.3-emscripten)
bfw.pdf |bfw.html✨
bfw/json (API)
NEWS
| # Install 'bfw' in R: |
| install.packages('bfw', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/oeysan/bfw/issues
- Cats - Dataset with Cats
Last updated 3 years agofrom:da40ecb91c. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 17 2024 |
| R-4.5-linux | OK | Dec 17 2024 |
Exports:AddNamesbfwCapWordsChangeNamesComputeHDIContrastNamesDiagMCMCDistinctColorsETAFileNameFindEnvironmentFlattenListGammaDistGetRangeInterleaveInverseHDILayoutMatrixCombnMergeMCMCMultiGrepNormalizePadVectorParseNumberParsePlotPlotCirclizePlotDataPlotMeanPlotNominalPlotParamReadFileRemoveEmptyRemoveGarbageRemoveSpacesRunContrastsRunMCMCSingleStringStatsBernoulliStatsCovariateStatsFitStatsKappaStatsMeanStatsMetricStatsNominalStatsRegressionStatsSoftmaxSumMCMCSumToZeroTidyCodeTrimTrimSplitVectorSub
Dependencies:askpassbase64enccirclizeclicodacolorspacecpp11data.tabledigestdplyrfansifarverfastmapfontBitstreamVerafontLiberationfontquivergdtoolsgenericsggplot2GlobalOptionsgluegtablehtmltoolsisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeofficeropensslpillarpkgconfigplyrpngR6raggRColorBrewerRcpprlangrunjagsrvgscalesshapesyssystemfontstextshapingtibbletidyselectutf8uuidvctrsviridisLitewithrxml2zip
Fit Latent Data
Rendered fromfit_latent_data.Rmdusingknitr::rmarkdownon Dec 17 2024.Last update: 2019-11-25
Started: 2018-06-15
Fit Observed Data
Rendered fromfit_observed_data.Rmdusingknitr::rmarkdownon Dec 17 2024.Last update: 2019-11-25
Started: 2018-06-15
Plot Data
Rendered fromplot_mean.Rmdusingknitr::rmarkdownon Dec 17 2024.Last update: 2018-11-04
Started: 2018-11-04
Predict Metric
Rendered frommetric.Rmdusingknitr::rmarkdownon Dec 17 2024.Last update: 2019-11-25
Started: 2018-06-15
Regression
Rendered fromregression.Rmdusingknitr::rmarkdownon Dec 17 2024.Last update: 2018-06-15
Started: 2018-06-15
