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].
You can install the prototype version of relate from GitHub with:
install.packages("remotes")
remotes::install_github("yqzhong7/relate")
Please find the tutorial in this vignette