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Rank-normalizes the phenotype, then regresses the transformed phenotype on genotype, covariates, and adjustments for population structure.
DINT(y, G, X, S, M = T, c = 3/8)
Numeric phenotype vector.
Snp by obs genotype matrix.
Obs by feature covariate matrix.
Obs by feature structure matrix.
Apply missingness filter? See missFilter.
missFilter
Offset applied during rank-normalization. See rankNormal.
rankNormal
A numeric vector of p-values assessing the null hypothesis of no genotypic effect. P-values are estimated using the Wald statistic, and correspond to the rows of G.
# NOT RUN { # DINT against normal phenotype p = RNOmni::DINT(y=RNOmni::Y[,1],G=RNOmni::G[1:10,],X=RNOmni::X,S=RNOmni::S); # }
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