compare_solutions: Compare latent profile models

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

Compare latent profile models

Description

Takes an object of class 'tidyLPA', containing multiple latent profile models with different number of classes or model specifications, and helps select the optimal number of classes and model specification.

Usage

compare_solutions(x, statistics = "BIC")

Arguments

x	An object of class 'tidyLPA'.
statistics	Character vector. Which statistics to examine for determining the optimal model. Defaults to 'BIC'.

Value

An object of class 'bestLPA' and 'list', containing a tibble of fits 'fits', a named vector 'best', indicating which model fit best according to each fit index, a numeric vector 'AHP' indicating the best model according to the AHP, an object 'plot' of class 'ggplot', and a numeric vector 'statistics' corresponding to argument of the same name.

Author(s)

Caspar J. van Lissa

Examples

iris_subset <- sample(nrow(iris), 20) # so examples execute quickly
results <- iris %>%
  subset(select = c("Sepal.Length", "Sepal.Width",
    "Petal.Length", "Petal.Width")) %>%
  estimate_profiles(1:3) %>%
  compare_solutions()

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