tskrrHeterogeneous-class: Class tskrrHeterogeneous

In xnet: Two-Step Kernel Ridge Regression for Network Predictions

Description

The class tskrrHeterogeneous is a subclass of the superclass tskrr specifically for heterogeneous networks.

Slots

y

the matrix with responses

k

the eigen decomposition of the kernel matrix for the rows

lambda.k

the lambda value used for k

pred

the matrix with the predictions

g

the eigen decomposition of the kernel matrix for the columns

lambda.g

the lambda value used for g

has.hat

a logical value indicating whether the kernel hat matrices are stored in the object.

Hk

the kernel hat matrix for the rows.

Hg

the kernel hat matrix for the columns.

labels

a list with elements k and g (see tskrr-class). If any element is NA, the labels used are integers indicating the row resp column number.

xnet documentation built on Feb. 4, 2020, 9:10 a.m.