mx_growth_mixture {tidySEM}

Estimate growth mixture models using OpenMx

Description

This function is a wrapper around mx_mixture, adding the default arguments of growth to simplify the specification of growth mixture models. This function is only useful if all the latent variables in the model are growth factors.

Usage

mx_growth_mixture(model, classes = 1L, data = NULL, run = TRUE, ...)

Arguments

model

Syntax for the model; either a character string, or a list of character strings, or a list of mxModel objects. See Details.

classes

A vector of integers, indicating which class solutions to generate. Defaults to 1L. E.g., classes = 1:6, classes = c(1:4, 6:8).

data

The data.frame to be used for model fitting.

run

Logical, whether or not to run the model. If run = TRUE, the function calls mixture_starts and run_mx.

...

Additional arguments, passed to functions.

Value

Returns an mxModel.

References

Van Lissa, C. J., Garnier-Villarreal, M., & Anadria, D. (2023). Recommended Practices in Latent Class Analysis using the Open-Source R-Package tidySEM. Structural Equation Modeling. doi:10.1080/10705511.2023.2250920

Examples

## Not run: 
data("empathy")
df <- empathy[1:6]
mx_growth_mixture(model = "i =~ 1*ec1 + 1*ec2 + 1*ec3 +1*ec4 +1*ec5 +1*ec6
                           s =~ 0*ec1 + 1*ec2 + 2*ec3 +3*ec4 +4*ec5 +5*ec6
                           ec1 ~~ vec1*ec1
                           ec2 ~~ vec2*ec2
                           ec3 ~~ vec3*ec3
                           ec4 ~~ vec4*ec4
                           ec5 ~~ vec5*ec5
                           ec6 ~~ vec6*ec6
                           i ~~ 0*i
                           s ~~ 0*s
                           i ~~ 0*s",
                  classes = 2,
                  data = df) -> res

## End(Not run)