Regularized Structural Equation Modeling

Documentation for package ‘regsem’ version 1.9.5

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 and 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