ScreeningStep performs the cleaning step of the graphlet screening
1  ScreeningStep(y.tilde, gram, cg.all, nm, v, r, q0 = 0.1, scale = 1)

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 
survivor 
A logical vector, where TRUE means retained as a protential signal. 
When nm=1, it is just univariate threholding, and thurs the screening step of UPS.
CleaningStep
, IterGS
1  ##See the demoGS.r

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