Obtains the best pattern and its BIC among the patterns obtainable by summing
two consecutive terms in pattern0.
pcbic.subpatterns(eigenvals, n, pattern0)The \(Q\)-vector of eigenvalues of the covariance matrix, in order from largest to smallest.
The degrees of freedom in the covariance matrix.
The pattern of equalities of the eigenvalues, given by the \(K\)-vector (\(Q_1\), ... , \(Q_K\)) as in (13.8).
A `list` containing:
A double matrix containing the pattern evaluated.
A vector containing the BIC for the above pattern matrix.
pcbic, pcbic.stepwise,
and pcbic.unite.
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