ldan: Log-likelihood of array normal model.
In dcgerard/tensr: Covariance Inference and Decompositions for Tensor Datasets
ldan R Documentation
Log-likelihood of array normal model.
Description
ldan calculates the log-likelihood of the array normal
model, minus a constant.
Usage
ldan(E, Sig)
Arguments
E
An array. This is the data.
Sig
A list of symmetric positive definite matrices. These
are the component covariance matrices.
Author(s)
David Gerard.
dcgerard/tensr documentation built on Oct. 4, 2022, 5:58 p.m.
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| ldan | R Documentation |
Log-likelihood of array normal model.
Description
ldan calculates the log-likelihood of the array normal
model, minus a constant.
Usage
ldan(E, Sig)
Arguments
E |
An array. This is the data. |
Sig |
A list of symmetric positive definite matrices. These are the component covariance matrices. |
Author(s)
David Gerard.
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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