Package: GFDmcv 0.1.0

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 <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.

Authors:Marc Ditzhaus [aut], Lukasz Smaga [aut, cre]

GFDmcv_0.1.0.tar.gz
GFDmcv_0.1.0.zip(r-4.7)GFDmcv_0.1.0.zip(r-4.6)GFDmcv_0.1.0.zip(r-4.5)
GFDmcv_0.1.0.tgz(r-4.6-x86_64)GFDmcv_0.1.0.tgz(r-4.6-arm64)GFDmcv_0.1.0.tgz(r-4.5-x86_64)GFDmcv_0.1.0.tgz(r-4.5-arm64)
GFDmcv_0.1.0.tar.gz(r-4.7-arm64)GFDmcv_0.1.0.tar.gz(r-4.7-x86_64)GFDmcv_0.1.0.tar.gz(r-4.6-arm64)GFDmcv_0.1.0.tar.gz(r-4.6-x86_64)
GFDmcv_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
GFDmcv/json (API)

# Install 'GFDmcv' in R:
install.packages('GFDmcv', repos = c('https://ls-git-17.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

2.08 score 4 packages 194 downloads 3 exports 19 dependencies

Last updated from:0258a6f543. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK149
linux-devel-x86_64OK139
source / vignettesOK208
linux-release-arm64OK166
linux-release-x86_64OK160
macos-release-arm64OK156
macos-release-x86_64OK225
macos-oldrel-arm64OK135
macos-oldrel-x86_64OK191
windows-develOK135
windows-releaseOK123
windows-oldrelOK174
wasm-releaseOK118

Exports:contr_mate_mcvGFDmcv

Dependencies:clicodetoolsdoParallelforeachglueHSAURiteratorslatticelifecyclemagrittrMASSMatrixmvtnormRcppRcppArmadillorlangstringistringrvctrs