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

dipm_1.12.tar.gz
dipm_1.12.zip(r-4.7-x86_64)dipm_1.12.zip(r-4.7-arm64)dipm_1.12.zip(r-4.6-x86_64)dipm_1.12.zip(r-4.6-arm64)
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✨
DESCRIPTION
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'))
Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

openmp

1.00 score 458 downloads 4 exports 29 dependencies

Last updated from:515ed5d6bf. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK155
source / vignettesOK168
linux-release-arm64OK122
linux-release-x86_64OK155
windows-devel-arm64OK217
windows-devel-x86_64OK140
windows-release-arm64OK214
windows-release-x86_64OK92
wasm-releaseOK92

Exports:dipmnode_dipmpmprunespmtree

Dependencies:clicpp11farverFormulaggplot2gluegtableinumisobandlabelinglatticelibcoinlifecycleMatrixmvtnormpartykitR6RColorBrewerrlangrpartS7sandwichscalesstrucchangesurvivalvctrsviridisLitewithrzoo