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-4.5)mmcm_1.2-8.zip(r-4.4)mmcm_1.2-8.zip(r-4.3)
mmcm_1.2-8.tgz(r-4.4-x86_64)mmcm_1.2-8.tgz(r-4.4-arm64)mmcm_1.2-8.tgz(r-4.3-x86_64)mmcm_1.2-8.tgz(r-4.3-arm64)
mmcm_1.2-8.tar.gz(r-4.5-noble)mmcm_1.2-8.tar.gz(r-4.4-noble)
mmcm_1.2-8.tgz(r-4.4-emscripten)mmcm_1.2-8.tgz(r-4.3-emscripten)
mmcm.pdf |mmcm.html✨
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
Last updated 5 years agofrom:e6e263757a. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win-x86_64 | OK | Nov 06 2024 |
| R-4.5-linux-x86_64 | OK | Nov 06 2024 |
| R-4.4-win-x86_64 | OK | Nov 06 2024 |
| R-4.4-mac-x86_64 | OK | Nov 06 2024 |
| R-4.4-mac-aarch64 | OK | Nov 06 2024 |
| R-4.3-win-x86_64 | OK | Nov 06 2024 |
| R-4.3-mac-x86_64 | OK | Nov 06 2024 |
| R-4.3-mac-aarch64 | OK | Nov 06 2024 |
Exports:GenzBretzmcm.mvtmmcm.mvtmmcm.resamp
Dependencies:mvtnorm
