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
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