Package: dipm 1.12
Cai Li
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.
Authors:
dipm_1.12.tar.gz
dipm_1.12.tar.gz(r-4.7-arm64)dipm_1.12.tar.gz(r-4.7-x86_64)dipm_1.12.tar.gz(r-4.6-arm64)dipm_1.12.tar.gz(r-4.6-x86_64)
dipm_1.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dipm/json (API)
| # Install 'dipm' in R: |
| install.packages('dipm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:515ed5d6bf. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 153 | ||
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 129 | ||
| linux-release-arm64 | OK | 140 | ||
| linux-release-x86_64 | OK | 134 | ||
| wasm-release | OK | 111 |
Exports:dipmnode_dipmpmprunespmtree
Dependencies:clicpp11farverFormulaggplot2gluegtableinumisobandlabelinglatticelibcoinlifecycleMatrixmvtnormpartykitR6RColorBrewerrlangrpartS7scalessurvivalvctrsviridisLitewithr
