README.md

relate: REcursive muLtivariAte TEsting for cohort clustering

Project Status: WIP – Initial development is in progress, but there
has not yet been a stable, usable release suitable for the
public. R build
status

Authors: Yongqi Zhong, Ekaterina Smirnova, Rasha Alsaadawi, Bryan Lau

Contributors: Amii Kress, Xuejuan Ning, Jordan Kuiper, Mingyu Zhang, Lisa Jacobson

The goal of relate is to identify cohort cluster with disparate covariate information. This package uses unsupervised random forests to obtain distances between observations within and across cohorts, hierarchical clustering to identify sub-groups of cohorts, and then test whether covariate distributions provide evidence differences in multivariate joint distributions.

This work is supported by Environmental influences on Child Health Outcomes (ECHO) Data Analysis Center (DAC) [U24OD023382; PI: Jacobson/Parker].

Installation

You can install the prototype version of relate from GitHub with:

install.packages("remotes")
remotes::install_github("yqzhong7/relate")

Tutorial

Please find the tutorial in this vignette



yqzhong7/relate documentation built on Jan. 29, 2023, 6:33 p.m.