Class for cross-validated regularized SEM

Slots

parameters: data.frame with parameter estimates for the best combination of the tuning parameters
transformations: transformed parameters
cvfits: data.frame with all combinations of the tuning parameters and the sum of the cross-validation fits
parameterLabels: character vector with names of all parameters
regularized: character vector with names of regularized parameters
cvfitsDetails: data.frame with cross-validation fits for each subset
subsets: matrix indicating which person is in which subset
subsetParameters: optional: data.frame with parameter estimates for all combinations of the tuning parameters in all subsets
misc: list with additional return elements
notes: internal notes that have come up when fitting the model