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

mmcm_1.2-8.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

openmp

1.70 score 3 scripts 215 downloads 4 exports 1 dependencies

Last updated 5 years agofrom:dcf1bd0443. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 26 2024
R-4.5-linux-x86_64OKNov 26 2024

Exports:GenzBretzmcm.mvtmmcm.mvtmmcm.resamp

Dependencies:mvtnorm