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:
mmcm_1.2-8.tar.gz
mmcm_1.2-8.zip(r-4.7-x86_64)mmcm_1.2-8.zip(r-4.7-arm64)mmcm_1.2-8.zip(r-4.6-x86_64)mmcm_1.2-8.zip(r-4.6-arm64)mmcm_1.2-8.zip(r-4.5-x86_64)
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✨
DESCRIPTION |NEWS
card.svg |card.png
mmcm/json (API)
| # 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
Last updated from:e6e263757a. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 74 | ||
| linux-devel-x86_64 | OK | 101 | ||
| source / vignettes | OK | 131 | ||
| linux-release-arm64 | OK | 68 | ||
| linux-release-x86_64 | OK | 86 | ||
| macos-release-arm64 | OK | 139 | ||
| macos-release-x86_64 | OK | 217 | ||
| macos-oldrel-arm64 | OK | 157 | ||
| macos-oldrel-x86_64 | OK | 380 | ||
| windows-devel-arm64 | OK | 315 | ||
| windows-devel-x86_64 | OK | 98 | ||
| windows-release-arm64 | OK | 321 | ||
| windows-release-x86_64 | OK | 67 | ||
| windows-oldrel-x86_64 | OK | 65 | ||
| wasm-release | OK | 84 |
Exports:GenzBretzmcm.mvtmmcm.mvtmmcm.resamp
Dependencies:mvtnorm
