bic_cal: BIC for RCM
In dilernia/rcm: Implemention of Random Covariance Models
Description
Usage
Arguments
Value
Author(s)
Description
This function calculates the BIC for the random covariance model (RCM)
Usage
1
Arguments
x
List of K data matrices each of dimension n_k x p.
Omegas
p x p x K array of K number of estimated subject-level precision matrices.
Gk_est
p x p x K array of K number of estimated subject-level networks.
Value
Numeric BIC value
Author(s)
Lin Zhang
dilernia/rcm documentation built on Aug. 11, 2020, 7:29 a.m.
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Description Usage Arguments Value Author(s)
Description
This function calculates the BIC for the random covariance model (RCM)
Usage
1 |
Arguments
x |
List of K data matrices each of dimension n_k x p. |
Omegas |
p x p x K array of K number of estimated subject-level precision matrices. |
Gk_est |
p x p x K array of K number of estimated subject-level networks. |
Value
Numeric BIC value
Author(s)
Lin Zhang
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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