modComLik: Computes the log-likelihood of the Tesor Normal for each...
In Rene-Gutierrez/BayTenGraMod: Bayesian Tensor Graphical Model
Description
Usage
Arguments
Value
Author(s)
Description
Computes the log-likelihood of the Tesor Normal for each model estimate
given a sample of tensors.
Usage
1
modComLik(modelList, tensors)
Arguments
modelList
A list of lists. The outer list is indexed by model. The
inner list is indexed by Matrix.
tensors
A list with the sample of tensors
Value
A vector with the log-likelihood for each model.
Author(s)
Rene Gutierrez Marquez
Rene-Gutierrez/BayTenGraMod documentation built on Dec. 12, 2020, 11:24 a.m.
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Description Usage Arguments Value Author(s)
Description
Computes the log-likelihood of the Tesor Normal for each model estimate given a sample of tensors.
Usage
1 | modComLik(modelList, tensors)
|
Arguments
modelList |
A list of lists. The outer list is indexed by model. The inner list is indexed by Matrix. |
tensors |
A list with the sample of tensors |
Value
A vector with the log-likelihood for each model.
Author(s)
Rene Gutierrez Marquez
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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