Package: ICcforest 0.5.1

ICcforest: An Ensemble Method for Interval-Censored Survival Data

Implements the conditional inference forest approach to modeling interval-censored survival data. It also provides functions to tune the parameters and evaluate the model fit. See Yao et al. (2019) <arxiv:1901.04599>.

Authors:Weichi Yao [aut, cre], Halina Frydman [aut], Jeffrey S. Simonoff [aut]

ICcforest_0.5.1.tar.gz
ICcforest_0.5.1.zip(r-4.7)ICcforest_0.5.1.zip(r-4.6)ICcforest_0.5.1.zip(r-4.5)
ICcforest_0.5.1.tgz(r-4.6-any)ICcforest_0.5.1.tgz(r-4.5-any)
ICcforest_0.5.1.tar.gz(r-4.7-any)ICcforest_0.5.1.tar.gz(r-4.6-any)
ICcforest_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ICcforest/json (API)
NEWS

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

On CRAN:

Conda:

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

1.74 score 11 scripts 136 downloads 3 exports 53 dependencies

Last updated from:b33231dd25. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK146
source / vignettesOK160
linux-release-x86_64OK122
macos-release-arm64OK167
macos-oldrel-arm64OK188
windows-develOK109
windows-releaseOK93
windows-oldrelOK86
wasm-releaseOK106

Exports:ICcforestsbrier_ICtuneICRF

Dependencies:classclicodacodetoolscpp11data.tablediagramdigestfarverforeachFormulafuturefuture.applyggplot2globalsgluegtableicenReginumipredisobanditeratorsKernSmoothlabelinglatticelavalibcoinlifecyclelistenvMASSMatrixMLEcensmvtnormnnetnumDerivparallellypartykitprodlimprogressrR6RColorBrewerRcppRcppEigenrlangrpartS7scalesshapeSQUAREMsurvivalvctrsviridisLitewithr