Class for regularized SEM

Class for regularized SEM

Slots

penalty

penalty used (e.g., "lasso")

tuningParameterConfigurations

list with settings for the lambda, theta, and alpha tuning parameters.

parameters

data.frame with parameter estimates

fits

data.frame with all fit results

parameterLabels

character vector with names of all parameters

weights

vector with weights given to each of the parameters in the penalty

regularized

character vector with names of regularized parameters

transformations

if the model has transformations, the transformed parameters are returned

internalOptimization

list of elements used internally

inputArguments

list with elements passed by the user to the general

notes

internal notes that have come up when fitting the model