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]

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NEWS

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

Peer review:

On CRAN:

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

1.70 score 9 scripts 141 downloads 3 exports 37 dependencies

Last updated 5 years agofrom:b33231dd25. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 22 2024
R-4.5-winOKOct 22 2024
R-4.5-linuxOKOct 22 2024
R-4.4-winOKOct 22 2024
R-4.4-macOKOct 22 2024
R-4.3-winOKOct 22 2024
R-4.3-macOKOct 22 2024

Exports:ICcforestsbrier_ICtuneICRF

Dependencies:classclicodacodetoolsdata.tablediagramdigestforeachFormulafuturefuture.applyglobalsicenReginumiprediteratorsKernSmoothlatticelavalibcoinlistenvMASSMatrixMLEcensmvtnormnnetnumDerivparallellypartykitprodlimprogressrRcppRcppEigenrpartshapeSQUAREMsurvival