Little’s chi-squared test takes into account possible patterns of missingness across all variables in the dataset.
Rejection of the null hypothesis of this test would provide sufficient evidence to indicate that the data are (globally) not MCAR.
Please note that compared to smdi_hotelling, this function tests for MCAR globally across all missing covariates.
#' #' Important: don't include variables like ID variables, ZIP codes, dates, etc.