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regsem (version 0.1.2)

Performs Regularization on Structural Equation Models

Description

Uses both ridge and lasso penalties (and extensions) to penalize specific parameters in structural equation models. The package offers additional cost functions, cross validation, and other extensions beyond traditional SEM.

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Version

Install

install.packages('regsem')

Monthly Downloads

583

Version

0.1.2

License

GPL (>= 2)

Maintainer

Ross Jacobucci

Last Published

April 18th, 2016

Functions in regsem (0.1.2)

rcpp_grad_ram

Calculates the gradient vector based on Von Oertzen & Brick, 2014
summary.regsem

Summary results from regsem.
regsem

Regularized Structural Equation Modeling
multi_optim

Multiple starts for Regularized Structural Equation Modeling
extractMatrices

This function extracts RAM matrices from a lavaan object.
fit_indices

Calculates the fit indices
rcpp_RAMmult

Take RAM matrices, multiplies, and returns Implied Covariance matrix.
cv_regsem

The main function that ties together and runs the models.
rcpp_fit_fun

Calculates the objective function values.