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]