Multisource Graph Synthesis with EHR Data R package MUGS version 0.1.0 We develop Multi-source Graph Synthesis (MUGS), an algorithm designed to create embeddings for pediatric Electronic Health Record (EHR) codes by leveraging graphical information from three distinct sources: (1) pediatric EHR data, (2) EHR data from the general patient population, and (3) existing hierarchical medical ontology knowledge shared across different patient populations. See Li et al. (2024) <doi:10.1038/s41746-024-01320-4> for details. Software Depends: R (>= 3.5.0) Imports: MASS, Matrix, fastDummies, doSNOW, dplyr, grplasso, foreach, glmnet, grpreg, inline, mvtnorm, pROC, parallel, RcppArmadillo, rsvd, methods Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Mengyan Li <mengyanli@bentley.edu> Comprehensive R Archive Network (CRAN) Mengyan Li [cre, aut], Thomas Charlon [ctb] (ORCID: 0000-0001-7497-0470), Xiaoou Li [aut], Tianxi Cai [aut], PARSE LTD [aut], CELEHS Team [aut] GPL-3 2025-05-19 application/tgz https://CRAN.R-project.org/package=MUGS doi:10.32614/CRAN.package.MUGS