plot_BIC {MixLFA}R Documentation

Plot BIC Values Across Iterations

Description

This function plots the Bayesian Information Criterion (BIC) values across iterations for convergence evaluation.

Usage

plot_BIC(res_MLFA)

Arguments

res_MLFA

a list containing the MLFA model parameters returned by the MLFA function.

Value

No return value. This function generates a plot representing BIC values (y-axis) for different iterations (x-axis).

Examples

# Load the necessary datasets
data(simulated_MLFA)  # Load a simulated dataset based on the MLFA model
# Extract matrices from the list
# Extract matrix Y of outcomes of interest for the factor analysis model
Y <- simulated_MLFA$Y
# Extract matrix X of fixed effect covariates for describing the latent factors
X <- simulated_MLFA$X
# Extract matrix Z of random effect covariates for describing the latent factors
Z <- simulated_MLFA$Z
# Extract matrix id containing subject identifiers.
id <-simulated_MLFA$id
#' # Run the MLFA (Mixture of Longitudinal Factor Analyzers) function with:
# C: number of classes or clusters in our simulated data was set to 2.
# d: number of latent factors in our simulated data was set to 1.
# max_it: maximum number of iterations is set to 50 for a quick test.
# Estimation of the parameters of the MLFA model using the simulated data.
result_MLFA <- MLFA(C = 2, d = 2, X, Y, Z, id, max_it = 50, fixed_factor =  c(1,6))
# plot the BIC from iteration 1 to iteration \eqn{max_it}.
plot_BIC(result_MLFA)

[Package MixLFA version 1.0.0 Index]