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dipm: Depth Importance in Precision Medicine (DIPM) Method
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.
Getting started
Browse package contents
Package details |
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| Author | Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut] |
| Maintainer | Cai Li <cai.li.stats@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.11 |
| Package repository | View on CRAN |
| Installation |
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