Package: mmcm 1.2-8

mmcm: Modified Maximum Contrast Method

An implementation of modified maximum contrast methods (Sato et al. (2009) <doi:10.1038/tpj.2008.17>; Nagashima et al. (2011) <doi:10.2202/1544-6115.1560>) and the maximum contrast method (Yoshimura et al. (1997) <doi:10.1177/009286159703100213>): Functions mmcm.mvt() and mcm.mvt() give P-value by using randomized quasi-Monte Carlo method with pmvt() function of package 'mvtnorm', and mmcm.resamp() gives P-value by using a permutation method.

Authors:Kengo Nagashima [aut, cre], Yasunori Sato [aut]

mmcm_1.2-8.tar.gz
mmcm_1.2-8.zip(r-4.7)mmcm_1.2-8.zip(r-4.6)mmcm_1.2-8.zip(r-4.5)
mmcm_1.2-8.tgz(r-4.6-x86_64)mmcm_1.2-8.tgz(r-4.6-arm64)mmcm_1.2-8.tgz(r-4.5-x86_64)mmcm_1.2-8.tgz(r-4.5-arm64)
mmcm_1.2-8.tar.gz(r-4.7-arm64)mmcm_1.2-8.tar.gz(r-4.7-x86_64)mmcm_1.2-8.tar.gz(r-4.6-arm64)mmcm_1.2-8.tar.gz(r-4.6-x86_64)
mmcm_1.2-8.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
mmcm/json (API)
NEWS

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

Bug tracker:https://github.com/nshi-stat/mmcm/issues

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openmp

2.70 score 3 scripts 191 downloads 4 exports 1 dependencies

Last updated from:e6e263757a. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK110
linux-devel-x86_64OK98
source / vignettesOK135
linux-release-arm64OK95
linux-release-x86_64OK90
macos-release-arm64OK122
macos-release-x86_64OK174
macos-oldrel-arm64OK89
macos-oldrel-x86_64OK178
windows-develOK84
windows-releaseOK58
windows-oldrelOK74
wasm-releaseOK89

Exports:GenzBretzmcm.mvtmmcm.mvtmmcm.resamp

Dependencies:mvtnorm