`bootstrap_lrt.Rd`

Bootstrap the likelihood-ratio test statistic for mixture components

bootstrap_lrt(df, ..., n_profiles, variances = "equal", covariances = "zero")

df | data.frame with two or more columns with continuous variables |
---|---|

... | unquoted variable names separated by commas |

n_profiles | the number of profiles (or mixture components) to be estimated |

variances | how the variable variances are estimated; defaults to "equal" (to be constant across profiles); other option is "varying" (to be varying across profiles) |

covariances | how the variable covariances are estimated; defaults to "zero" (to not be estimated, i.e. for the covariance matrix to be diagonal); other options are "varying" (to be varying across profiles) and "equal" (to be constant across profiles) |

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

# NOT RUN { d <- pisaUSA15 d <- dplyr::sample_n(d, 200) bootstrap_lrt(d, broad_interest, enjoyment, self_efficacy) # }