LMS: Latent moderated strctural equations by Klein and Moosbrugger...

In powerNLSEM: Simulation-Based Power Estimation (MSPE) for Nonlinear SEM

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"
)

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.

Value

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

References

Klein, A. G., & Moosbrugger, H. (2000). Maximum likelihood estimation of latent interaction effects with the LMS method. Psychometrika, 65(4), 457–474. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/BF02296338")}

powerNLSEM documentation built on Sept. 27, 2024, 5:10 p.m.