Description Usage Arguments Author(s)
Infer parameters with blasso
1 2 3 |
Y |
response |
X |
predictors |
method |
blasso or lm |
intercept |
whether to include the intercept |
seed |
seed |
alpha |
the alpha parameter for elastic net (1:lasso [default], 0:ridge) |
nfolds |
number of folds for glmnet cross-validation |
lambda.init |
user provides initial lambda values |
lambda.choice |
1: use lambda.1se for LASSO, 2: use lambda.min for LASSO, a number between (0, 1): this will select a lambda according to (1-lambda.choice)*lambda.min + lambda.choice*lambda.1se |
lambda.adjust.up |
allow adjusting lambda (increase) by 50% in each iteration |
lambda.adjust.down |
allow adjusting lambda (decrease) by 50% in each iteration |
Chenhao Li, Gerald Tan, Niranjan Nagarajan
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