Depth Importance in Precision Medicine (DIPM) Method R package dipm version 1.12 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) An implementation by Chen, Li, and Zhang (2022) <doi: 10.1093/bioadv/vbac041> of the Depth Importance in Precision Medicine (DIPM) method in Chen and Zhang (2022) <doi:10.1093/biostatistics/kxaa021> and Chen and Zhang (2020) <doi:10.1007/978-3-030-46161-4_16>. The DIPM method is a classification tree that searches for subgroups with especially poor or strong performance in a given treatment group. Software Depends: R (>= 3.0.0) Imports: stats, utils, survival, partykit (>= 1.2-6), ggplot2, rlang, grid Cai Li <cai.li.stats@gmail.com> Comprehensive R Archive Network (CRAN) Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut] GPL (>= 2) 2025-11-10 application/tgz https://CRAN.R-project.org/package=dipm doi:10.32614/CRAN.package.dipm