generates a the first lambda which sets all regularized parameters to zero
.gpGetMaxLambda(
regularizedModel,
par,
fitFunction,
gradientFunction,
userSuppliedArguments,
weights
)first lambda value which sets all regularized parameters to zero (plus some tolerance)
Model combining likelihood and lasso type penalty
labeled vector with starting values
R fit function
R gradient functions
list with arguments for fitFunction and gradientFunction
weights given to each parameter in the penalty function