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)
NEWS

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

Peer review:

Datasets:
  • curdies - Curdies river data set
  • pizza - Pizza delivery times
  • startup - Startup Costs of five different companies

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

2.20 score 16 scripts 387 downloads 4 exports 49 dependencies

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

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linuxNOTENov 20 2024

Exports:calculateGUIGFDGFD_GUIQANOVA

Dependencies:abindbase64encbslibcachemclicommonmarkcrayondigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetshttpuvjquerylibjsonliteknitrlaterlatticelifecyclemagicmagrittrMASSMatrixmemoisemimeplotrixplyrpromisesR6rappdirsRcpprlangrmarkdownsassshinyshinyjsshinythemesshinyWidgetssourcetoolstinytextippywithrxfunxtableyaml

An Introduction to GFD

Rendered fromIntroductionToGFD.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2022-01-18
Started: 2016-04-28