multigene

is a data matrix with observations as rows and features/genes as columns.

is a data matrix with observations as rows (same observations as X) and a different set of features/genes as columns.

Given two input matrices with the same number of observations but differrent number of variables, this function returns the largest canonical correlation between variables of matrix 1 (X) and those of matrix 2 (Y).

We introduce a nonparametric, graphical test based on optimal matching for assessing whether multiple unknown multivariate probability distributions are equal. This method is consistent, and does not make any distributional assumptions on the data. Our procedure combines data that belong to different classes or groups to create a graph on the pooled data, and then utilizes the number of edges connecting data points from different classes to examine equality of distributions among the classes. The functions available through this package implement the work described here: <arXiv:1906.04776>.

Divyansh Agarwal

multicross

A Graph-Based Test for Comparing Multivariate Distributions in
the Multi Sample Framework

multigene function

Given two input matrices with the same number of observations but differrent number of variables, this function returns the largest canonical correlation between variables of matrix 1 (X) and those of matrix 2 (Y). — multigene

Given two input matrices with the same number of observations but differrent number of variables, this function returns the largest canonical correlation between variables of matrix 1 (X) and those of matrix 2 (Y).

multigene: Given two input matrices with the same number of observations but differrent number of variables, this function returns the largest canonical correlation between variables of matrix 1 (X) and those of matrix 2 (Y).

Description

Usage

Arguments

Value