Calculates a dependency graph using repeated Gaussian stepwise selection
fgr2st(x,p0=0.01,km=0,nu=1,nedge=10^6,inr=T)
The variables
Cut-off P-value
Maximum number selected variables for each node
The order statistic of Gaussian covariates used for comparison.
Maximum number of edges
Logical, if TRUE include an intercept
ned Number of edges
edg List of edges
# NOT RUN { data(redwine) a<-fgr2st(redwine[,1:11]) # }
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