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