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Find the BIC and MLE from a set of observed eigenvalues for a specific pattern.
pcbic(eigenvals, n, pattern)The
The degrees of freedom in the covariance matrix.
The pattern of equalities of the eigenvalues, given by the
A `list` with the following components:
A
The deviance of the model, as in (13.13).
The dimension of the model, as in (13.12).
The value of the BIC for the model, as in (13.14).
# NOT RUN {
# Build cars1
require("mclust")
mcars <- Mclust(cars)
cars1 <- cars[mcars$classification == 1, ]
xcars <- scale(cars1)
eg <- eigen(var(xcars))
pcbic(eg$values, 95, c(1, 1, 3, 3, 2, 1))
# }
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