Package: icrf 2.0.2

icrf: Interval Censored Recursive Forests

Implements interval censored recursive forests (ICRF) based on Cho, Jewell, and Kosorok (2021+). ICRF is a variant of random forests where the outcome variable is interval censored survival data. It can be used for usual right censored data and current status data as well. A recursion technique is used to improve accuracy and smoothed survival curves are provided.

Authors:Hunyong Cho [aut, cre], Nicholas P Jewell [aut], Michael R Kosorok [aut], Leo Breiman [ctb], Adele Cutler [ctb], Andy Liaw [ctb], Matthew Wiener [ctb], Alain Vandal Robert Gentleman [ctb], Merck & Co. Inc. [cph], Alain Vandal Robert Gentleman [cph], The R Foundation [cph]

icrf_2.0.2.tar.gz
icrf_2.0.2.zip(r-4.5)icrf_2.0.2.zip(r-4.4)icrf_2.0.2.zip(r-4.3)
icrf_2.0.2.tgz(r-4.4-x86_64)icrf_2.0.2.tgz(r-4.4-arm64)icrf_2.0.2.tgz(r-4.3-x86_64)icrf_2.0.2.tgz(r-4.3-arm64)
icrf_2.0.2.tar.gz(r-4.5-noble)icrf_2.0.2.tar.gz(r-4.4-noble)
icrf_2.0.2.tgz(r-4.4-emscripten)icrf_2.0.2.tgz(r-4.3-emscripten)
icrf.pdf |icrf.html✨
icrf/json (API)
NEWS

# Install 'icrf' in R:
install.packages('icrf', repos = c('https://hunyong.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • rat2 - Rat tumor data

On CRAN:

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

1.00 score 685 downloads 8 exports 0 dependencies

Last updated 2 years agofrom:300ceee712. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-win-x86_64NOTENov 01 2024
R-4.5-linux-x86_64NOTENov 01 2024
R-4.4-win-x86_64NOTENov 01 2024
R-4.4-mac-x86_64NOTENov 01 2024
R-4.4-mac-aarch64NOTENov 01 2024
R-4.3-win-x86_64OKNov 01 2024
R-4.3-mac-x86_64OKNov 01 2024
R-4.3-mac-aarch64OKNov 01 2024

Exports:getTreeicrfimportancemeasuresurvplottreesizevarImpPlotvarUsed

Dependencies: