Modified Maximum Contrast Method
An implementation of modified maximum contrast methods (Sato et al. (2009) ;
Nagashima et al. (2011) ) and the maximum contrast method (Yoshimura et al. (1997)
): 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.
mmcm package
Modified Maximum Contrast Method
An implementation of modified maximum contrast methods and
the maximum contrast method: 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.
- Sato Y, Laird NM, Nagashima K, et al. A new statistical screening approach for finding pharmacokinetics-related genes in genome-wide studies. The Pharmacogenomics Journal 2009; 9(2): 137--146. doi:10.1038/tpj.2008.17.
- Nagashima K, Sato Y, Hamada C. A modified maximum contrast method for unequal sample sizes in pharmacogenomic studies. Statistical Applications in Genetics and Molecular Biology 2011; 10(1): Article 41. doi:10.2202/1544-6115.1560.
- Yoshimura I, Wakana A, Hamada C. A performance comparison of maximum contrast methods to detect dose dependency. Drug Informatoion Journal 1997; 31(2): 423--432. doi:10.1177/009286159703100213.
Installation
Get the released version from CRAN:
install.packages("mmcm")
Or the development version from github:
# install.packages("devtools")
devtools::install_github("nshi-stat/mmcm")