| cv_regsem | The main function that runs multiple penalty values. |
| det_range | Determine the initial range for stability selection |
| det_range_par | Determine the initial range for stability selection, parallel version |
| efaModel | Generates an EFA model to be used by lavaan and regsem Function created by Florian Scharf for the paper Should regularization replace simple structure rotation in Exploratory Factor Analysis - Scharf & Nestler (in press at SEM) |
| extractMatrices | This function extracts RAM matrices from a lavaan object. |
| fit_indices | Calculates the fit indices |
| multi_optim | Multiple starts for Regularized Structural Equation Modeling |
| parse_parameters | Takes either a vector of parameter ids or a vector of named parameters and returns a vector of parameter ids |
| pen_mod | Penalized model syntax. |
| plot.cvregsem | Plot function for cv_regsem |
| rcpp_fit_fun | Calculates the objective function values. |
| rcpp_grad_ram | Calculates the gradient vector based on Von Oertzen & Brick, 2014 |
| rcpp_quasi_calc | Compute quasi Hessian |
| rcpp_RAMmult | Take RAM matrices, multiplies, and returns Implied Covariance matrix. |
| regsem | Regularized Structural Equation Modeling. Tests a single penalty. For testing multiple penalties, see cv_regsem(). |
| stabsel | Stability selection |
| stabsel_par | Stability selection, parallelized version |
| stabsel_thr | Tuning the probability threshold. |
| summary.cvregsem | print information about cvregsem object |
| summary.regsem | Summary results from regsem. |
| xmed | Function to performed exploratory mediation with continuous and categorical variables |