tskrr-class: Class tskrr

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

Description

The class tskrr represents a two step kernel ridge regression fitting object, and is normally generated by the function tskrr. This is a superclass so it should not be instantiated directly.

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

has.hat

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

Hk

the kernel hat matrix for the rows.

labels

a list with two character vectors, k and g, containing the labels for the rows resp. columns. See tskrrHomogeneous and tskrrHeterogeneous for more details.

See Also

the classes tskrrHomogeneous and tskrrHeterogeneous for the actual classes.

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