Description Usage Arguments Value See Also
Call LassoSig
for multiple response variables
1 2 3  GeneralLassoSig(Y, X, B = 100, s = c("lambda.min", "lambda.1se", "halfway",
"usefixed"), gamma.min = 0.05, fixedP = NULL, include = NULL,
nfolds = 10, intercept = TRUE)

Y 
Response matrix for general regression with 
X 
Design matrix 
B 
Number of times to partition the sample 
s 
The value of lambda to use in lasso. Can be:

include 
Set of predictors to be forceincluded in OLS analysis 
gamma.min 
Lower bound for gamma in the adaptive search for the best pvalue (default 0.05) 
fixedP 
The fixed number of parameters to use (if 
nfolds 
Number of folds of crossvalidation in the glmnet nfold crossvalidation 
intercept 
Whether to include an intercept in the OLS regression (default = 
An nbym matrix of pvalues for n predictors and m response variables
LassoSig
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