Measurement Model of Derivatives in 'OpenMx'

Provides a convenient interface in 'OpenMx' for building Estabrook's (2015) Measurement Model of Derivatives (MMOD).


mxmmod

This package provides a convenient interface for building Measurement Model of Derivatives (MMOD; Estabrook, 2015) in OpenMx.

Installing

Install in R with:

devtools::install_github('khusmann/mxmmod')

Usage

data(nlsy97depression)
# Fit one factor MMOD
structure <- list(
  F1 = c('nervous', 'down', 'depressed', 'calm', 'happy')
)
mmod_model <- mxMmodModel(data=nlsy97depression,
                          modelName='1 Factor MMOD',
                          idvar='pid', timevar='occasion', structure=structure)
mmod_fit <- OpenMx::mxRun(mmod_model)
summary(mmod_fit)

Reference manual

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install.packages("mxmmod")

1.1.0 by Kyle D. Husmann, 5 years ago


Browse source code at https://github.com/cran/mxmmod


Authors: Kyle D. Husmann [aut, cre] , Timothy R. Brick [aut] , Ryne Estabrook [aut]


Documentation:   PDF Manual  


Apache License 2.0 license


Imports OpenMx

Suggests knitr, rmarkdown, testthat, tidyverse


See at CRAN