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