Description Usage Arguments Value See Also Examples
View source: R/pcbic.stepwise.R
Uses the stepwise procedure described in Section 13.1.4 to find a pattern for a set of observed eigenvalues with good BIC value.
1 | pcbic.stepwise(eigenvals, n)
|
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. |
A list with the following components:
A list of patterns, one for each value of length K.
A vector of the BIC's for the above patterns.
The best (smallest) value among the BIC's in BICs.
The pattern with the best BIC.
A Q-vector containing the MLE's for the eigenvalues for the pattern with the best BIC.
pcbic
, pcbic.unite
,
and pcbic.subpatterns
.
1 2 3 4 5 6 7 |
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