GFDmcv: General Hypothesis Testing Problems for Multivariate Coefficients of Variation

Performs test procedures for general hypothesis testing problems for four multivariate coefficients of variation (Ditzhaus and Smaga, 2023 <doi:10.48550/arXiv.2301.12009>). We can verify the global hypothesis about equality as well as the particular hypotheses defined by contrasts, e.g., we can conduct post hoc tests. We also provide the simultaneous confidence intervals for contrasts.

Version: 0.1.0
Imports: Rcpp (≥ 1.0.9), mvtnorm, doParallel, MASS, foreach, Matrix, stringr, HSAUR
LinkingTo: Rcpp, RcppArmadillo
Published: 2023-02-02
Author: Marc Ditzhaus [aut], Lukasz Smaga [aut, cre]
Maintainer: Lukasz Smaga <ls at amu.edu.pl>
License: LGPL-2 | LGPL-3 | GPL-2 | GPL-3
NeedsCompilation: yes
CRAN checks: GFDmcv results

Documentation:

Reference manual: GFDmcv.pdf

Downloads:

Package source: GFDmcv_0.1.0.tar.gz
Windows binaries: r-devel: GFDmcv_0.1.0.zip, r-release: GFDmcv_0.1.0.zip, r-oldrel: GFDmcv_0.1.0.zip
macOS binaries: r-release (arm64): GFDmcv_0.1.0.tgz, r-oldrel (arm64): GFDmcv_0.1.0.tgz, r-release (x86_64): GFDmcv_0.1.0.tgz

Reverse dependencies:

Reverse imports: GFDrmst, multiFANOVA

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