msir.regularizedSigma {msir} | R Documentation |
Regularized estimate of predictors covariance matrix.
Description
This function computes a regularized version of the covariance matrix of the predictors. Among the possible models the one which maximizes BIC is returned.
Usage
msir.regularizedSigma(x, inv = FALSE, model = c("XII", "XXI", "XXX"))
Arguments
x |
Ahe predictors data matrix. |
inv |
A logical specifying what must be returned. If |
model |
A character string specifying the available models:
|
Value
A (p \times p)
covariance matrix estimate.
Author(s)
Luca Scrucca luca.scrucca@unipg.it
See Also
[Package msir version 1.3.3 Index]