Description Usage Arguments Value Examples
The iterative graphlet screening procedure, main function of the package.
1 2 
y.tilde 
X'y where X and y are the predictor matrix and the response vector, respectively. 
gram 
the threholded gram matrix 
gram.bias 
the bias of the threholded gram matrix 
cg.all 
all the connected cg.alls of gram with size no more than nm. 
sp 
the expected sparse level 
tau 
the minimal signal strength to be detected 
nm 
the maximal size of the connected subgaphs considered in the screening step. 
q0 
the minimal screening parameter 
scale 
optional numerical parameter of the screening step. The default is 1 
max.iter 
the maximal number of iterations. The default is 3. 
std.thresh 
the threshold of the std change that stop the loop. The default is 1.05. 
beta.initial 
the initial estimate of beta in reducing the bias. The default is uu*sign(y.tilde)*(abs(y.tilde)>uu). 
IterGS returns a list with two elements
estimate 
The iterative GS estimate of beta 
n.iter 
The number of iterations it takes 
1  ##See demoIterGs.r

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.