README.md

In oyvind-bakke/fwerapprox: FWER Approximations

fwerapprox

R package for

(1) computing score test statistics for testing whether each of a large number of coefficients (typically corresponding to genetic markers) in a GLM is zero in presence of a smaller number of covariates (typically environmental covariates), and estimation of correlations between the test statistics, and

(2) computing Glaz–Johnson-type intersection approximations of the asymptotic multivariate normal distribution of the test statistics, which can be used for FWER control.

To install:

library(devtools)
install_github("oyvind-bakke/fwerapprox")

To load:

library(fwerapprox)

Basic information:

package?fwerapprox

oyvind-bakke/fwerapprox documentation built on May 29, 2019, 7:35 a.m.