powerNLSEM (version 0.1.2)

LMS: Latent moderated strctural equations by Klein and Moosbrugger (2000), the ML approach to nonlinear SEM

Description

Latent moderated strctural equations by Klein and Moosbrugger (2000), the ML approach to nonlinear SEM

Usage

LMS(
  lavModel_Analysis,
  data,
  data_transformations = NULL,
  prefix = 1,
  pathLMS = tempdir(),
  algorithm = "INTEGRATION"
)

Value

Returns a data.frame that includes parameter estimates estimated using LMS.

Arguments

lavModel_Analysis

the lavModel_Analysis object

data

set to fit

data_transformations

Object containing info on possible data transformations.

prefix

an arbitrary prefix for the data set. This prevents issues when using parallelization and Mplus.

pathLMS

path where (temporal) data and scripts for running LMS using Mplus are stored (using MplusAutomation). Default to NULL, then tempdir() is used.

algorithm

algorithm to use. Default to INTEGRATION.

References

Klein, A. G., & Moosbrugger, H. (2000). Maximum likelihood estimation of latent interaction effects with the LMS method. Psychometrika, 65(4), 457–474. tools:::Rd_expr_doi("10.1007/BF02296338")