pcbic.subpatterns: Obtain the best subpattern among the patterns.
In msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden

Obtains the best pattern and its BIC among the patterns obtainable by summing two consecutive terms in pattern0.

1	pcbic.subpatterns(eigenvals, n, pattern0)

`eigenvals`	The Q-vector of eigenvalues of the covariance matrix, in order from largest to smallest.
`n`	The degrees of freedom in the covariance matrix.
`pattern0`	The pattern of equalities of the eigenvalues, given by the K-vector (Q_1, ... , Q_K) as in (13.8).

A 'list' containing:

# NA

msos documentation built on Oct. 31, 2020, 9:07 a.m.

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