{ "_id": "6a213703cd65a98ecbd26c6b", "Package": "bfw", "Title": "Bayesian Framework for Computational Modeling", "Version": "0.4.2", "Date": "2022-02-22", "Authors@R": "person( \"Øystein Olav\",\"Skaar\", email=\"bayesianfw@gmail.com\", role=c(\"aut\",\"cre\"))", "Maintainer": "Øystein Olav Skaar ", "Description": "Derived from the work of Kruschke (2015,\n), the present package aims to provide a\nframework for conducting Bayesian analysis using Markov chain\nMonte Carlo (MCMC) sampling utilizing the Just Another Gibbs\nSampler ('JAGS', Plummer, 2003,\n). The initial version\nincludes several modules for conducting Bayesian equivalents of\nchi-squared tests, analysis of variance (ANOVA), multiple\n(hierarchical) regression, softmax regression, and for fitting\ndata (e.g., structural equation modeling).", "License": "MIT + file LICENSE", "URL": "https://github.com/oeysan/bfw/", "BugReports": "https://github.com/oeysan/bfw/issues/", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "LazyData": "true", "NeedsCompilation": "no", "RoxygenNote": "7.1.2", "SystemRequirements": "JAGS >=4.3.0 ,\nJava JDK >=1.4 ", "Config/testthat/edition": "3", "Config/pak/sysreqs": "libcairo2-dev libfontconfig1-dev libfreetype6-dev\nlibfribidi-dev libharfbuzz-dev jags default-jdk libicu-dev\nlibjpeg-dev libpng-dev libtiff-dev libwebp-dev libxml2-dev\nlibssl-dev", "Repository": "https://oeysan.r-universe.dev", "Date/Publication": "2022-02-22 10:50:27 UTC", "RemoteUrl": "https://github.com/oeysan/bfw", "RemoteRef": "HEAD", "RemoteSha": 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