modComAdj: Computes Several performance statistics for the Tensor...
In Rene-Gutierrez/BayTenGraMod: Bayesian Tensor Graphical Model
Description
Usage
Arguments
Value
Author(s)
Description
This function computes the following statistics for each model provided.
Accuracy.
True Positive Rate.
True Negative Rate.
Usage
1
modComAdj(modelList, trueModel)
Arguments
modelList
A list of lists. The outer list is indexed by model. The
inner list is indexed by Matrix.
trueModel
A list with the true Matrices
Value
A list with different performance statistics in comparison with the
true model.
- acc
Accuracy for each model.
- tpr
True positive Rate for each model.
- tnr
True Negative Rate for each model.
Author(s)
Rene Gutierrez Marquez
Rene-Gutierrez/BayTenGraMod documentation built on Dec. 12, 2020, 11:24 a.m.
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.
Description Usage Arguments Value Author(s)
Description
This function computes the following statistics for each model provided.
Accuracy.
True Positive Rate.
True Negative Rate.
Usage
1 | modComAdj(modelList, trueModel)
|
Arguments
modelList |
A list of lists. The outer list is indexed by model. The inner list is indexed by Matrix. |
trueModel |
A list with the true Matrices |
Value
A list with different performance statistics in comparison with the true model.
- acc
Accuracy for each model.
- tpr
True positive Rate for each model.
- tnr
True Negative Rate 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.