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dipm  

Depth Importance in Precision Medicine (DIPM) Method
View on CRAN: Click here


Download and install dipm package within the R console
Install from CRAN:
install.packages("dipm")

Install from Github:
library("remotes")
install_github("cran/dipm")

Install by package version:
library("remotes")
install_version("dipm", "1.9")



Attach the package and use:
library("dipm")
Maintained by
Cai Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-01
Latest Update: 2022-10-27
Description:
An implementation by Chen, Li, and Zhang (2022) of the Depth Importance in Precision Medicine (DIPM) method in Chen and Zhang (2022) and Chen and Zhang (2020) . The DIPM method is a classification tree that searches for subgroups with especially poor or strong performance in a given treatment group.
How to cite:
Cai Li (2021). dipm: Depth Importance in Precision Medicine (DIPM) Method. R package version 1.9, https://cran.r-project.org/web/packages/dipm. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2021-03-01 10:40), 1.1 (2021-03-07 00:50), 1.2 (2021-04-29 01:20), 1.3 (2021-11-17 12:40), 1.4 (2021-11-18 08:40), 1.5 (2021-11-29 09:10), 1.6 (2022-03-10 11:10), 1.7 (2022-05-18 23:10), 1.8 (2022-07-14 10:20)
Other packages that cited dipm R package
View dipm citation profile
Other R packages that dipm depends, imports, suggests or enhances
Complete documentation for dipm
Functions, R codes and Examples using the dipm R package
Some associated functions: dipm . node_dipm . pmprune . spmtree . 
Some associated R codes: coxph_R_to_C.R . coxph_R_to_C_multi.R . dipm.R . ini_node.R . lm_R_to_C.R . node_dipm.R . pmprune.R . print.dipm.R . spmtree.R .  Full dipm package functions and examples
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