.regularizeSEMInternal | R Documentation |
Internal function: This function computes the regularized models for all penaltiy functions which are implemented for glmnet and gist. Use the dedicated penalty functions (e.g., lessSEM::lasso) to penalize the model.
.regularizeSEMInternal(
lavaanModel,
penalty,
weights,
tuningParameters,
method,
modifyModel,
control,
notes = NULL
)
lavaanModel |
model of class lavaan |
penalty |
string: name of the penalty used in the model |
weights |
labeled vector with weights for each of the parameters in the model. |
tuningParameters |
data.frame with tuning parameter values |
method |
which optimizer should be used? Currently implemented are ista and glmnet. With ista, the control argument can be used to switch to related procedures (currently gist). |
modifyModel |
used to modify the lavaanModel. See ?modifyModel. |
control |
used to control the optimizer. This element is generated with the controlIsta() and controlGlmnet() functions. |
notes |
option to pass a notes to function. All notes of the current function will be added |
regularized SEM
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