oyvind-bakke/fwerapprox: FWER Approximations

(1) Computes 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 provides estimates of correlations between the test statistics, and (2) computes Glaz–Johnson-type intersection approximations of the asymptotic multivariate normal distribution of the test statistics, which can be used for FWER control. See Halle et al., "Efficient and powerful familywise error control in genome-wide association studies using generalised linear models".

install.packages("remotes")
remotes::install_github("oyvind-bakke/fwerapprox")