valid_dimensions: Functions to check matrices

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

Description

These functions allow you to check whether the dimensions of the label matrix and the kernel matrix (matrices) are compatible. valid_dimensions checks whether both k and g are square matrices, whether y has as many rows as k and whether y has as many columns as g. is_square checks whether both dimensions are the same.

Usage

valid_dimensions(y, k, g = NULL)

is_square(x)

Arguments

y	a label matrix
k	a kernel matrix
g	an optional second kernel matrix or NULL otherwise.
x	any matrix

Value

a logical value indicating whether the dimensions of the matrices are compatible for a two step kernel ridge regression.

Note

The function is_square is not exported

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