The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 1.9 |
| Depends: | R (≥ 3.0.0) |
| Imports: | stats, utils, survival, partykit (≥ 1.2-6), ggplot2, grid |
| Published: | 2022-10-27 |
| Author: | Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut] |
| Maintainer: | Cai Li <cai.li.stats at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| In views: | MachineLearning |
| CRAN checks: | dipm results |
| Reference manual: | dipm.pdf |
| Package source: | dipm_1.9.tar.gz |
| Windows binaries: | r-devel: dipm_1.9.zip, r-release: dipm_1.9.zip, r-oldrel: dipm_1.9.zip |
| macOS binaries: | r-release (arm64): dipm_1.9.tgz, r-oldrel (arm64): dipm_1.9.tgz, r-release (x86_64): dipm_1.9.tgz, r-oldrel (x86_64): dipm_1.9.tgz |
| Old sources: | dipm archive |
Please use the canonical form https://CRAN.R-project.org/package=dipm to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.