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.

Version: 1.0.0
Imports: stats, utils
Published: 2019-01-17
Author: Øyvind Langsrud [aut, cre], Bjørn-Helge Mevik [aut]
Maintainer: Øyvind Langsrud <oyl at ssb.no>
BugReports: https://github.com/olangsrud/ffmanova/issues
License: GPL-2
URL: https://github.com/olangsrud/ffmanova
NeedsCompilation: no
CRAN checks: ffmanova results

Downloads:

Reference manual: ffmanova.pdf
Package source: ffmanova_1.0.0.tar.gz
Windows binaries: r-devel: ffmanova_1.0.0.zip, r-release: ffmanova_1.0.0.zip, r-oldrel: ffmanova_1.0.0.zip
OS X binaries: r-release: ffmanova_1.0.0.tgz, r-oldrel: ffmanova_0.9.1.tgz
Old sources: ffmanova archive

Reverse dependencies:

Reverse imports: RegSDC

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