Man pages for Rjacobucci/regsem
Regularized Structural Equation Modeling

cv_regsemThe main function that runs multiple penalty values.
det_rangeDetermine the initial range for stability selection
det_range_parDetermine the initial range for stability selection, parallel...
efaModelGenerates an EFA model to be used by lavaan and regsem...
extractMatricesThis function extracts RAM matrices from a lavaan object.
fit_indicesCalculates the fit indices
multi_optimMultiple starts for Regularized Structural Equation Modeling
parse_parametersTakes either a vector of parameter ids or a vector of named...
pen_modPenalized model syntax.
plot.cvregsemPlot function for cv_regsem
rcpp_fit_funCalculates the objective function values.
rcpp_grad_ramCalculates the gradient vector based on Von Oertzen & Brick,...
rcpp_quasi_calcCompute quasi Hessian
rcpp_RAMmultTake RAM matrices, multiplies, and returns Implied Covariance...
regsemRegularized Structural Equation Modeling. Tests a single...
stabselStability selection
stabsel_parStability selection, parallelized version
stabsel_thrTuning the probability threshold.
summary.cvregsemprint information about cvregsem object
summary.regsemSummary results from regsem.
xmedFunction to performed exploratory mediation with continuous...
Rjacobucci/regsem documentation built on May 7, 2020, 1:08 a.m.