mcc: Moment Corrected Correlation
Version 1.0

A number of biomedical problems involve performing many hypothesis tests, with an attendant need to apply stringent thresholds. Often the data take the form of a series of predictor vectors, each of which must be compared with a single response vector, perhaps with nuisance covariates. Parametric tests of association are often used, but can result in inaccurate type I error at the extreme thresholds, even for large sample sizes. Furthermore, standard two-sided testing can reduce power compared to the doubled p-value, due to asymmetry in the null distribution. Exact (permutation) testing approaches are attractive, but can be computationally intensive and cumbersome. MCC is an approximation to exact association testing of two vectors that is accurate and fast enough for standard use in high-throughput settings, and can easily provide standard two-sided or doubled p-values.

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AuthorYi-Hui Zhou
Date of publication2014-07-03 20:59:30
MaintainerYi-Hui Zhou<yihui_zhou@ncsu.edu>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mcc")

Man pages

getAkmoment: Four moments of Pearson correlation under permutation
getAmoment: Four moments of Pearson correlation under permutation given...
getbetap.A: Momoent Corrected Correlation
getbetap.A.2: Momoent Corrected Correlation One
MCC-package: Moment Correction Correlation

Functions

MCC Man page
MCC-package Man page
getAkmoment Man page Source code
getAmoment Man page Source code
getbetap.A Man page Source code
getbetap.A.2 Man page Source code

Files

NAMESPACE
R
R/getbetap.A.R
R/getAkmoment.R
R/getAmoment.R
R/getbetap.A.2.R
MD5
DESCRIPTION
man
man/getbetap.A.rd
man/MCC-package.Rd
man/getAkmoment.rd
man/getbetap.A.2.rd
man/getAmoment.rd
mcc documentation built on May 20, 2017, 1:11 a.m.