Package: GFD 0.3.3

Sarah Friedrich

GFD: Tests for General Factorial Designs

Implemented are the Wald-type statistic, a permuted version thereof as well as the ANOVA-type statistic for general factorial designs, even with non-normal error terms and/or heteroscedastic variances, for crossed designs with an arbitrary number of factors and nested designs with up to three factors. Friedrich et al. (2017) <doi:10.18637/jss.v079.c01>.

Authors:Sarah Friedrich, Frank Konietschke, Markus Pauly, Marc Ditzhaus, Philipp Steinhauer

GFD_0.3.3.tar.gz
GFD_0.3.3.tar.gz(r-4.5-noble)GFD_0.3.3.tar.gz(r-4.4-noble)
GFD_0.3.3.tgz(r-4.4-emscripten)GFD_0.3.3.tgz(r-4.3-emscripten)
GFD.pdf |GFD.html✨
GFD/json (API)
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4 exports 0.00 score 51 dependencies 16 scripts 386 downloads

Last updated 3 years agofrom:ad3e0ecafd. Checks:OK: 1 NOTE: 1. Indexed: yes.

Exports:calculateGUIGFDGFD_GUIQANOVA

Dependencies:abindanytimebase64encBHbslibcachemclicommonmarkcrayondigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetshttpuvjquerylibjsonliteknitrlaterlatticelifecyclemagicmagrittrMASSMatrixmemoisemimeplotrixplyrpromisesR6rappdirsRcpprlangrmarkdownsassshinyshinyjsshinythemesshinyWidgetssourcetoolstinytextippywithrxfunxtableyaml