Package: dipm
Title: Depth Importance in Precision Medicine (DIPM) Method
Version: 1.12
Date: 2025-11-9
Authors@R: c(person(given = "Cai", family = "Li", 
	             role = c("aut", "cre"), email = "cai.li.stats@gmail.com"),
             person(given = "Victoria", family = "Chen", 
                    role = "aut", email = "victoria.chen@yale.edu"),
             person(given = "Heping", family = "Zhang", 
                    role = "aut", email = "heping.zhang@yale.edu"))
Maintainer: Cai Li <cai.li.stats@gmail.com>
Description: 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.
Depends: R (>= 3.0.0)
Imports: stats, utils, survival, partykit (>= 1.2-6), ggplot2, rlang,
        grid
NeedsCompilation: yes
License: GPL (>= 2)
Encoding: UTF-8
LazyLoad: yes
RoxygenNote: 7.3.2
Packaged: 2026-10-09 13:16:23 UTC; root
Author: Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut]
Repository: https://cli9.r-universe.dev
Date/Publication: 2025-11-10 06:50:02 UTC
RemoteUrl: https://github.com/cran/dipm
RemoteRef: HEAD
RemoteSha: 515ed5d6bf8f1410465f20314084f25d9a72b9b1