pcbic {msos} | R Documentation |
BIC for a particular pattern
Description
Find the BIC and MLE from a set of observed eigenvalues for a specific pattern.
Usage
pcbic(eigenvals, n, pattern)
Arguments
eigenvals |
The |
n |
The degrees of freedom in the covariance matrix. |
pattern |
The pattern of equalities of the eigenvalues, given by the
|
Value
A 'list' with the following components:
- lambdaHat
A
Q
-vector containing the MLE's for the eigenvalues.- Deviance
The deviance of the model, as in (13.13).
- Dimension
The dimension of the model, as in (13.12).
- BIC
The value of the BIC for the model, as in (13.14).
See Also
pcbic.stepwise
, pcbic.unite
,
and pcbic.subpatterns
.
Examples
# 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))
[Package msos version 1.2.0 Index]