Conduct Bootstrapped Likelihood Ratio Test to compare two mixture models.
BLRT(x, replications = 100, ...)
An object for which a method exists.
Integer reflecting the number of bootstrapped
replications, defaults to 100
.
further arguments to be passed to or from other methods.
A data.frame.
if (FALSE) {
df <- iris[, 1, drop = FALSE]
names(df) <- "x"
res <- mx_mixture(model = "x ~ m{C}*1
x ~~ v{C}*x", classes = 1:2, data = df)
BLRT(res, replications = 4)
}