ScreeningStep: GS-step of the graphlet screening

In ScreenClean: Screen and clean variable selection procedures

Description

ScreeningStep performs the cleaning step of the graphlet screening

Usage

ScreeningStep(y.tilde, gram, cg.all, nm, v, r, q0 = 0.1, scale = 1)

Arguments

y.tilde	X'y, where X and y are the predictor matrix and the reponse vector.
gram	the regularized gram matrix
cg.all	a list whose kth element is a matrix of k columns. Its rows contain all the connected subgraph with k nodes.
nm	the maximal subgraph invesgated in the screening step
v	an essential tuning parameter of graphlet screening, tied to the sparse level
r	an essential tuning parameter of graphlet screening, tied to the signal strength
q0	the minimal screening parameter
scale	q(D,F)=q^{max}(D,F)*scale, default is scale=1

Value

survivor

A logical vector, where TRUE means retained as a protential signal.

Note

When nm=1, it is just univariate threholding, and thurs the screening step of UPS.

See Also

CleaningStep, IterGS

Examples

##See the demoGS.r

Example output

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