generates a the first lambda which sets all regularized parameters to zero
.getMaxLambda_C(
regularizedModel,
SEM,
rawParameters,
weights,
N,
approx = FALSE
)
first lambda value which sets all regularized parameters to zero (plus some tolerance)
Model combining likelihood and lasso type penalty
model of class Rcpp_SEMCpp
labeled vector with starting values
weights given to each parameter in the penalty function
sample size
When set to TRUE, .Machine$double.xmax^(.01) is used instead of .Machine$double.xmax^(.05)