dot-regularizeSmoothSEMInternal: .regularizeSmoothSEMInternal
In lessSEM: Non-Smooth Regularization for Structural Equation Models

.regularizeSmoothSEMInternal

R Documentation

.regularizeSmoothSEMInternal

Description

Internal function: This function computes the regularized models for all smooth penalty functions which are implemented for bfgs. Use the dedicated penalty functions (e.g., lessSEM::smoothLasso) to penalize the model.

Usage

.regularizeSmoothSEMInternal(
  lavaanModel,
  penalty,
  weights,
  tuningParameters,
  epsilon,
  tau,
  method = "bfgs",
  modifyModel,
  control,
  notes = NULL
)

Arguments

`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
`epsilon`	epsilon > 0; controls the smoothness of the approximation. Larger values = smoother
`tau`	parameters below threshold tau will be seen as zeroed
`method`	optimizer used. Currently only "bfgs" is supported.
`modifyModel`	used to modify the lavaanModel. See ?modifyModel.
`control`	used to control the optimizer. This element is generated with the controlBFGS function. See ?controlBFGS for more details.
`notes`	option to pass a notes to function. All notes of the current function will be added