# Regularized Structural Equation Modeling

## Documentation for package ‘regsem’ version 1.8.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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