Package: AovBay 0.1.0

AovBay: Classic, Nonparametric and Bayesian One-Way Analysis of Variance Panel

It covers various approaches to analysis of variance, provides an assumption testing section in order to provide a decision diagram that allows selecting the most appropriate technique. It provides the classical analysis of variance, the nonparametric equivalent of Kruskal Wallis, and the Bayesian approach. These results are shown in an interactive shiny panel, which allows modifying the arguments of the tests, contains interactive graphics and presents automatic conclusions depending on the tests in order to contribute to the interpretation of these analyzes. 'AovBay' uses 'Stan' and 'FactorBayes' for Bayesian analysis and 'Highcharts' for interactive charts.

Authors:Mauricio Rojas-Campuzano [aut, cre, ctb], Johny Pambabay-Calero [aut, ctb], Sergio Bauz-Olvera [ctb], Omar Ruiz-Barzola [ctb]

AovBay_0.1.0.tar.gz
AovBay_0.1.0.zip(r-4.5)AovBay_0.1.0.zip(r-4.4)AovBay_0.1.0.zip(r-4.3)
AovBay_0.1.0.tgz(r-4.4-x86_64)AovBay_0.1.0.tgz(r-4.4-arm64)AovBay_0.1.0.tgz(r-4.3-x86_64)AovBay_0.1.0.tgz(r-4.3-arm64)
AovBay_0.1.0.tar.gz(r-4.5-noble)AovBay_0.1.0.tar.gz(r-4.4-noble)
AovBay.pdf |AovBay.html
AovBay/json (API)

# Install 'AovBay' in R:
install.packages('AovBay', repos = c('https://javierrojasc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 289 downloads 1 exports 144 dependencies

Last updated 3 years agofrom:c2a88cc02d. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-win-x86_64NOTEOct 26 2024
R-4.5-linux-x86_64NOTEOct 26 2024
R-4.4-win-x86_64NOTEOct 26 2024
R-4.4-mac-x86_64NOTEOct 26 2024
R-4.4-mac-aarch64NOTEOct 26 2024
R-4.3-win-x86_64NOTEOct 26 2024
R-4.3-mac-x86_64NOTEOct 26 2024
R-4.3-mac-aarch64NOTEOct 26 2024

Exports:aovbayes

Dependencies:abindassertthatbackportsbase64encBayesFactorBHbootbroombslibcachemcallrcarcarDatacheckmateclicodacolorspacecommonmarkcontfraccowplotcpp11crayoncrosstalkcurldata.tableDerivdescdeSolvedigestdistributionaldoBydplyrDTellipticevaluatefansifarverfastmapfontawesomeFormulafreshfsgenericsggplot2gluegridExtragtablehighcharterhighrhtmltoolshtmlwidgetshttpuvhypergeoigraphinlineisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelme4loolubridatemagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmomentsmunsellmvtnormnlmenloptrnnetnortestnumDerivpbapplypbkrtestpillarpkgbuildpkgconfigplyrposteriorprocessxpromisespspurrrquantmodquantregQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelreshaperjsonrlangrlistrmarkdownrstanrstantoolsrstudioapisassscalesshinyshinycssloadersshinydashboardshinydashboardPlussourcetoolsSparseMStanHeadersstringistringrsurvivaltensorAtibbletidyrtidyselecttimechangetinytexTTRutf8vctrsviridisLitewaiterwithrxfunXMLxtablextsyamlzoo