Package: ffmanova 1.1.2

ffmanova: Fifty-Fifty MANOVA

General linear modeling with multiple responses (MANCOVA). An overall p-value for each model term is calculated by the 50-50 MANOVA method by Langsrud (2002) <doi:10.1111/1467-9884.00320>, which handles collinear responses. Rotation testing, described by Langsrud (2005) <doi:10.1007/s11222-005-4789-5>, is used to compute adjusted single response p-values according to familywise error rates and false discovery rates (FDR). The approach to FDR is described in the appendix of Moen et al. (2005) <doi:10.1128/AEM.71.4.2086-2094.2005>. Unbalanced designs are handled by Type II sums of squares as argued in Langsrud (2003) <doi:10.1023/A:1023260610025>. Furthermore, the Type II philosophy is extended to continuous design variables as described in Langsrud et al. (2007) <doi:10.1080/02664760701594246>. This means that the method is invariant to scale changes and that common pitfalls are avoided.

Authors:Øyvind Langsrud [aut, cre], Bjørn-Helge Mevik [aut]

ffmanova_1.1.2.tar.gz
ffmanova_1.1.2.zip(r-4.7)ffmanova_1.1.2.zip(r-4.6)ffmanova_1.1.2.zip(r-4.5)
ffmanova_1.1.2.tgz(r-4.6-any)ffmanova_1.1.2.tgz(r-4.5-any)
ffmanova_1.1.2.tar.gz(r-4.7-any)ffmanova_1.1.2.tar.gz(r-4.6-any)
ffmanova_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
ffmanova/json (API)

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

Bug tracker:https://github.com/olangsrud/ffmanova/issues

Datasets:

On CRAN:

Conda:

3.00 score 2 stars 7 scripts 657 downloads 1 mentions 22 exports 0 dependencies

Last updated from:f4a0380e00. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK141
source / vignettesOK164
linux-release-x86_64OK138
macos-release-arm64OK190
macos-oldrel-arm64OK122
windows-develOK76
windows-releaseOK72
windows-oldrelOK68
wasm-releaseOK145

Exports:adjustffAnovaffmanovaffmanovatestffModelObjfixModelMatrixlinregEstm2cmanova5050matlabColonmultiPvaluesmultiStatisticsmyorthorth_Drotationtestrotationtestsstdizestdize3unitestunitestsx_Objxy_Obj

Dependencies: