Package: appRiori 0.0.5

appRiori: Code and Obtain Customized Planned Comparisons with 'appRiori'

With 'appRiori', users upload the research variables and the app guides them to the best set of comparisons fitting the hypotheses, for both main and interaction effects. Through a graphical explanation and empirical examples on reproducible data, it is shown that it is possible to understand both the logic behind the planned comparisons and the way to interpret them when a model is tested.

Authors:Umberto Granziol [aut, cre], Maximilian Rabe [aut], Andrea Spoto [aut], Giulio Vidotto [aut], Marcello Gallucci [aut]

appRiori_0.0.5.tar.gz
appRiori_0.0.5.zip(r-4.5)appRiori_0.0.5.zip(r-4.4)appRiori_0.0.5.zip(r-4.3)
appRiori_0.0.5.tgz(r-4.4-any)appRiori_0.0.5.tgz(r-4.3-any)
appRiori_0.0.5.tar.gz(r-4.5-noble)appRiori_0.0.5.tar.gz(r-4.4-noble)
appRiori_0.0.5.tgz(r-4.4-emscripten)appRiori_0.0.5.tgz(r-4.3-emscripten)
appRiori.pdf |appRiori.html✨
appRiori/json (API)

Peer review:

Bug tracker:https://github.com/ugranziol/appriori/issues

On CRAN:

2 exports 2 stars 1.47 score 68 dependencies 4 scripts 267 downloads

Last updated 7 months agofrom:c30c4783ec. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:appRioricontrasts_summary

Dependencies:assertthatbackportsbase64encbslibcachemcheckmateclicommonmarkcrayoncrosstalkdigestdplyrDTellipsisevaluatefansifastmapfontawesomefsgenericsgluehighrhtmltoolshtmlwidgetshttpuvhyprjquerylibjsonliteknitrlaterlatticelazyevallearnrlifecyclemagrittrmarkdownMASSMatrixmemoisemimepillarpkgconfigpracmapromisesR6rappdirsRcpprenvrhandsontablerlangrmarkdownrprojrootsassshinyshinythemessortablesourcetoolsstringistringrtibbletidyselecttinytexutf8vctrswithrxfunxtableyaml