Bootstrap the likelihood-ratio test statistic for mixture components

bootstrap_lrt(df, ..., n_profiles, model = 1)

## Arguments

df data.frame with two or more columns with continuous variables unquoted variable names separated by commas the number of profiles (or mixture components) to be estimated the mclust model to explore: 1 (varying means, equal variances, and residual covariances fixed to 0); 2 (varying means, equal variances and covariances; 3 (varying means and variances, covariances fixed to 0), 4 (varying means and covariances, equal variances; can only be specified in Mplus); 5 (varying means, equal variances, varying covariances); and 6 (varying means, variances, and covariances), in order least to most freely-estimated; see the introductory vignette for more information

## Details

Bootstrap the p-values for the likelihood-ratio test statistic for the number of mixture components for an mclust model.

## Examples

not_run({
d <- pisaUSA15
d <- dplyr::sample_n(d, 200)
bootstrap_lrt(d,
})