svaReg: svaReg
In xinchoubiology/Rcppsva: Rcpp Integration Surrogate Variable Analysis

when we search all of the factors which means surrogate variables update our model.matrix and calculate moderate test

1 2	svaReg(dat.m = NULL, design = NULL, sv.m = NULL, qvalue0 = 0.1, backend = c("NULL", "limma"), verbose = FALSE)

`dat.m`	n x m M\|beta matrix for n CpG sites across m different patient samples.
`design`	phenotype of interested; m-length vector reresent patient samples' phenotype. Optional: [combine with sample pair information] and mandatory column 2 is covariate of interest
`sv.m`	surrogate variables matrix calculate from isvaFn other sva methods.
`qvalue0`	false discovery rate's threshold; Default = 0.1
`backend`	backend regression packages; Default = "NULL", switch to limma for moderate statistic
`verbose`	Optional; Default FALSE