cond.best: cond.best

In chr1swallace/GUESSFM: Using GUESS for Fine Mapping

Description

Stepwise regression on a snpMatrix

Usage

cond.best(X, Y, best = NULL, stepwise.p.thr = 0.001,
  stepwise.max.predictors = NA, ...)

Arguments

X	snpMatrix object
Y	phenotype vector
best	SNPs chosen so far, NULL if none
stepwise.p.thr	maximum p value to continue adding predictors
stepwise.max.predictors	maximum predictors to choose, NA if continue until stepwise.p.thr is met
...	arguments passed to snp.rhs.test

Details

Calls snp.rhs.test to find next best predictor to add, possibly given a list of existing chosen predictors.

Value

new predictor, NULL if none found that meets conditions

Author(s)

Chris Wallace

chr1swallace/GUESSFM documentation built on May 13, 2019, 6:17 p.m.