Package: mmcm 1.2-8
Kengo Nagashima
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.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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:dcf1bd0443. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 144 | ||
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 162 | ||
| linux-release-arm64 | OK | 136 | ||
| linux-release-x86_64 | OK | 101 | ||
| wasm-release | OK | 96 |
Exports:GenzBretzmcm.mvtmmcm.mvtmmcm.resamp
Dependencies:mvtnorm
