estimate_profiles_openmx: Estimate latent profiles using OpenMx

In jrosen48/tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software

Estimate latent profiles using OpenMx

Description

Estimates latent profiles (finite mixture models) using the R-package OpenMx.

Usage

estimate_profiles_openmx(df, n_profiles, model_numbers, select_vars, ...)

Arguments

df	data.frame with two or more columns with continuous variables
n_profiles	Numeric vector. The number of profiles (or mixture components) to be estimated. Each number in the vector corresponds to an analysis with that many mixture components.
model_numbers	Numeric vector. Numbers of the models to be estimated. See estimate_profiles for a description of the models available in tidyLPA.
select_vars	Character. Optional vector of variable names in df, to be used for model estimation. Defaults to NULL, which means all variables in df are used.
...	Parameters passed to and from functions.

Value

An object of class 'tidyLPA' and 'list'

Author(s)

Caspar J. van Lissa

jrosen48/tidyLPA documentation built on Feb. 23, 2024, 11:33 p.m.