Package: dipm 1.9

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:Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut]

dipm_1.9.tar.gz
dipm_1.9.zip(r-4.5)dipm_1.9.zip(r-4.4)dipm_1.9.zip(r-4.3)
dipm_1.9.tgz(r-4.4-x86_64)dipm_1.9.tgz(r-4.4-arm64)dipm_1.9.tgz(r-4.3-x86_64)dipm_1.9.tgz(r-4.3-arm64)
dipm_1.9.tar.gz(r-4.5-noble)dipm_1.9.tar.gz(r-4.4-noble)
dipm_1.9.tgz(r-4.4-emscripten)dipm_1.9.tgz(r-4.3-emscripten)
dipm.pdf |dipm.html✨
dipm/json (API)

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.00 score 35 dependencies 458 downloads

Last updated 2 years agofrom:23475b35f9. Checks:OK: 9. Indexed: yes.

Exports:dipmnode_dipmpmprunespmtree

Dependencies:clicolorspacefansifarverFormulaggplot2gluegtableinumisobandlabelinglatticelibcoinlifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepartykitpillarpkgconfigR6RColorBrewerrlangrpartscalessurvivaltibbleutf8vctrsviridisLitewithr