CleaningStep: GC-step of the graphlet screening

In ScreenClean: Screen and clean variable selection procedures

Description

CleaningStep performs the cleaning step of the graphlet screening

Usage

CleaningStep(survivor, y.tilde, gram, lambda, uu)

Arguments

survivor	the result of the screening step, a logical vector.
y.tilde	X'y, where X and y are the predictor matrix and the reponse vector.
gram	the thresholded sparse gram matrix
lambda	the tuning parameters of the cleaning step, whose optimal choice is tied to the sparse level.
uu	the tuning parameter of the cleaning step; its optimal choice has the intuition of the detected minimal signal strength.

Value

beta.gs

the estimated regression coefficient of the graphlet screening, a numeric vector

See Also

IterGS,ScreeningStep

Examples

##See the demoGs.r

ScreenClean documentation built on May 2, 2019, 9:27 a.m.