aMNLFA.simultaneous: aMNLFA simultaneous model fitting function

In vtcole/aMNLFA: Automated Moderated Nonlinear Factor Analysis Using 'Mplus'

Description

This function generates the simultaneous aMNLFA model from all the initial inputs.

Usage

aMNLFA.simultaneous(input.object, keepmean = FALSE)

Arguments

input.object	The aMNLFA object (created using the aMNLFA.object function) which provides instructions for the function.
keepmean	Boolean. If intercept or loading DIF are present, should the corresponding mean impact effect be retained? Defaults to FALSE.

Value

No return value. Generates a file entitled "round3calibration.inp", to be run in Mplus, in the directory specified in the aMNLFA.object.

Examples

 wd  <-  tempdir()
 first <- paste0(system.file(package='aMNLFA'),"/extdata")
 the.list  <-  list.files(first,full.names=TRUE)
 file.copy(the.list,wd,overwrite=TRUE)
   
 ob  <-  aMNLFA::aMNLFA.object(dir = wd, 
 mrdata = xstudy, 
 indicators = paste0("bin_", 1:12),
 catindicators = paste0("bin_", 1:12), 
 meanimpact = c("AGE", "GENDER", "STUDY"), 
 varimpact = c("AGE", "GENDER", "STUDY"), 
 measinvar = c("AGE", "GENDER", "STUDY"),
 factors = c("GENDER", "STUDY"),
 ID = "ID",
 thresholds = FALSE)
 
 aMNLFA.simultaneous(ob)

vtcole/aMNLFA documentation built on Nov. 7, 2021, 6:11 p.m.