Introduction | Requirements | Objectives | Software | Hello (Bayes) World! | Linear model | Inspecting results | In summary | Priors: contextualising data | Logistic model | Prior elicitation | Mathematical approach | Computational approach | Results | Exercises | Posteriors: much more than point-and-interval estimation | Comparison of group means | Using default priors | Specifying custom priors | Model assessment | MCMC diagnostics | Posterior predictive checks | Conclusions | Bibliography
This package is hidden from search results because it is not hosted in the universe of the upstream owner
forge-training. To fix this you can add URL: https://cirad-astre.r-universe.dev/crashbayes to the package DESCRIPTION file. See also theR-universe documentation.Package: crashbayes 0.1.0
Facundo Muñoz
crashbayes: Crash Course On Bayesian Regression Modelling
Code, data and vignettes for a short (< 1 day) practical course on Bayesian Statistics.
Authors:
crashbayes_0.1.0.tar.gz
crashbayes_0.1.0.zip(r-4.7-any)crashbayes_0.1.0.zip(r-4.6-any)crashbayes_0.1.0.zip(r-4.5-any)
crashbayes_0.1.0.tgz(r-4.6-any)crashbayes_0.1.0.tgz(r-4.5-any)
crashbayes_0.1.0.tar.gz(r-4.7-any)crashbayes_0.1.0.tar.gz(r-4.6-any)
crashbayes_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
crashbayes/json (API)
| # Install 'crashbayes' in R: |
| install.packages('crashbayes', repos = c('https://cirad-astre.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://forge.inrae.fr/umr-astre/training/crashbayes
Datasets:
- best - Bayesian Estimation Supersedes the t Test
Last updated from:700f5a00de. Checks:7 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 170 | ||
| source / vignettes | OK | 287 | ||
| linux-release | NOTE | 172 | ||
| macos-release | NOTE | 127 | ||
| macos-oldrel | NOTE | 100 | ||
| windows-devel | NOTE | 143 | ||
| windows-release | NOTE | 92 | ||
| windows-oldrel | NOTE | 92 | ||
| wasm-release | OK | 153 |
Exports:dlogitnormsigma_ci
Dependencies:abindarrayhelpersbackportsbase64encbayesplotBHbootbroombslibcachemcallrcheckmateclicodacolourpickercommonmarkcowplotcpp11crosstalkcurldescdigestdistributionaldplyrDTdygraphsevaluatefarverfastmapfontawesomeforcatsfsgenericsggdistggplot2ggridgesggtextgluegridExtragridtextgtablegtoolshighrhtmltoolshtmlwidgetshttpuvigraphinlineisobandjpegjquerylibjsonlitekableExtraknitrlabelinglaterlatticelazyevallifecyclelitedownlme4loomagrittrmarkdownMASSMatrixmatrixStatsmemoisemimeminiUIminqanlmenloptrnumDerivotelpillarpkgbuildpkgconfigplyrpngposteriorprocessxpromisespspurrrquadprogQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreformulasreshape2rlangrmarkdownrstanrstanarmrstantoolsrstudioapiS7sassscalesshinyshinyjsshinystanshinythemessourcetoolsStanHeadersstringistringrsurvivalsvglitesvUnitsystemfontstensorAtextshapingthreejstibbletidybayestidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxml2xtablextsyamlzoo
