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cff-version: 1.2.0
message: 'To cite package "dipm" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'dipm: Depth Importance in Precision Medicine (DIPM) Method'
version: '1.9'
doi: 10.32614/CRAN.package.dipm
abstract: An implementation by Chen, Li, and Zhang (2022) <https://doi.org/ 10.1093/bioadv/vbac041>
  of the Depth Importance in Precision Medicine (DIPM) method in Chen and Zhang (2022)
  <https://doi.org/10.1093/biostatistics/kxaa021> and Chen and Zhang (2020) <https://doi.org/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.
authors:
- family-names: Li
  given-names: Cai
  email: cai.li.stats@gmail.com
- family-names: Chen
  given-names: Victoria
  email: victoria.chen@yale.edu
- family-names: Zhang
  given-names: Heping
  email: heping.zhang@yale.edu
repository: https://CRAN.R-project.org/package=dipm
date-released: '2022-10-27'
contact:
- family-names: Li
  given-names: Cai
  email: cai.li.stats@gmail.com