getFitMeasures: compute fit measures for laremm

In jhorzek/laremm: LASSO Regularization in mxModels

compute fit measures for laremm

Description

Note: laremm is based on the R package regsem. Because of the early status of laremm, it is recommended to use regsem instead!

Usage

getFitMeasures(regmodel, model_type = "mxModel", fitfun = "FIML",
  cvsample = NULL, zeroThresh = 0.001, setZero = FALSE)

Arguments

regmodel	already run regularized model
model_type	specify the type of model provided: ctsem or mxModel
fitfun	fitfunction to be used in the fitting procedure. Either FML or FIML
cvsample	mxData object with test sample data. Has to be of same data_type as the training data set
zeroThresh	threshold for setting regularized parameters to zero. Default is .001 similar to regsem
setZero	should parameters below zeroThresh be set to zero in all fit calculations. Default is FALSE, similar to regsem

Author(s)

Jannik Orzek

jhorzek/laremm documentation built on Sept. 16, 2022, 12:06 p.m.