getLikelihood: Get likelihood

In batchmix: Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction

Get likelihood

Description

Extracts the model fit score from the mixture model output.

Usage

getLikelihood(mcmc_output, choice = "complete_likelihood")

Arguments

mcmc_output	The output from the mixture model.
choice	The model fit score to use. Must be one of “'observed_likelihood'“, “'complete_likelihood'“ or “'BIC'“. Defaults to “'complete_likelihood'“.

Value

A data.frame containing the model fit score of choice and the iteration.

Examples

# Data in a matrix format
X <- matrix(c(rnorm(100, 0, 1), rnorm(100, 3, 1)), ncol = 2, byrow = TRUE)

# Batch
batch_vec <- sample(seq(1, 5), replace = TRUE, size = 100)

# Sampling parameters
R <- 100
thin <- 5

# MCMC samples and BIC vector
samples <- runBatchMix(X, R, thin, batch_vec, "MVN")

lkl_df <- getLikelihood(samples)

batchmix documentation built on May 29, 2024, 2:14 a.m.