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]

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ffmanova.pdf |ffmanova.html
ffmanova/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

3.00 score 2 stars 7 scripts 763 downloads 1 mentions 22 exports 0 dependencies

Last updated 1 years agofrom:f4a0380e00. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winOKNov 11 2024
R-4.5-linuxOKNov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

Exports:adjustffAnovaffmanovaffmanovatestffModelObjfixModelMatrixlinregEstm2cmanova5050matlabColonmultiPvaluesmultiStatisticsmyorthorth_Drotationtestrotationtestsstdizestdize3unitestunitestsx_Objxy_Obj

Dependencies: