cv_regsem               The main function that runs multiple penalty
                        values.
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
plot.cvregsem           Plot function for cv_regsem
rcpp_RAMmult            Take RAM matrices, multiplies, and returns
                        Implied Covariance matrix.
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
regsem                  Regularized Structural Equation Modeling. Tests
                        a single penalty. For testing multiple
                        penalties, see cv_regsem().
summary.cvregsem        print information about cvregsem object
summary.regsem          Summary results from regsem.
xmed                    Function to performed exploratory mediation
                        with continuous and categorical variables
