evaluation.sum {HhP}R Documentation

Hierarchical Heterogeneity Regression Analysis.

Description

The main function for Transfer learning for tensor graphical models.

Usage

evaluation.sum(n,q,p,admmres, abic.n, admmres2, Beta0, bic.var)

Arguments

n

The sample size.

q

The dimension of type 1 features.

p

The dimension of type 2 features.

admmres

The results corresponding to lambda1.

abic.n

The BIC values.

admmres2

The results corresponding to lambda1.

Beta0

The true values of beta.

bic.var

The BIC values.

Value

A result list including: evaluating indicator


[Package HhP version 1.0.0 Index]