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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")

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Version

Install

install.packages('mmcm')

Monthly Downloads

202

Version

1.2-8

License

GPL-3

Maintainer

Kengo Nagashima

Last Published

March 4th, 2020

Functions in mmcm (1.2-8)

mcm.mvt

The maximum contrast method by using the randomized quasi-Monte Carlo method
mmcm.mvt

The modified maximum contrast method by using randomized quasi-Monte Carlo method
mmcm-package

The modified maximum contrast method package
mmcm.resamp

The permuted modified maximum contrast method
print.mmcm

Print function for mmcm object
reexports

Objects exported from other packages