Learn R Programming

ScreenClean (version 1.0.1)

CleaningStep: GC-step of the graphlet screening

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

Run this code
##See the demoGs.r

Run the code above in your browser using DataLab