modComPre: Computes Several performance statistics for the Tensor...

In Rene-Gutierrez/BayTenGraMod: Bayesian Tensor Graphical Model

Description

This function computes the following statistics for each model provided.

• Frobenious Norm of the Kronecker product.

• Infinity Norm of the Kronecker product.

• Average Frobenious Norm of each matrix.

• Average Infinity Norm of each matrix.

Usage

modComPre(modelList, trueModel, large = TRUE)

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.
large	A boolean indicating if the presicion matrices are large, to avoid computing the kronacker norm.

Value

A list with different performance statistics in comparison with the true model.

kroFro

Frobenious Norm of the Kronecker product for each model.

kroInf

Infinity Norm of the Kronecker product for each model.

sinFro

Average Frobenious Norm of each matrix for each model.

sinInf

Average Infinity Norm of each matrix for each model.

Author(s)

Rene Gutierrez Marquez

Rene-Gutierrez/BayTenGraMod documentation built on Dec. 12, 2020, 11:24 a.m.