CondiS: Censored Data Imputation for Direct Modeling

Impute the survival times for censored observations based on their conditional survival distributions derived from the Kaplan-Meier estimator. 'CondiS' can replace the censored observations with the best approximations from the statistical model, allowing for direct application of machine learning-based methods. When covariates are available, 'CondiS' is extended by incorporating the covariate information through machine learning-based regression modeling ('CondiS_X'), which can further improve the imputed survival time.

Version: 0.1.2
Depends: R (≥ 3.6)
Imports: caret, survival, kernlab, purrr, tidyverse, survminer
Suggests: rmarkdown, knitr
Published: 2022-04-17
DOI: 10.32614/CRAN.package.CondiS
Author: Yizhuo Wang ORCID iD [aut, cre], Ziyi Li [aut], Xuelin Huang [aut], Christopher Flowers [ctb]
Maintainer: Yizhuo Wang <ywang70 at>
License: GPL-2
NeedsCompilation: no
CRAN checks: CondiS results


Reference manual: CondiS.pdf
Vignettes: introduction


Package source: CondiS_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CondiS_0.1.2.tgz, r-oldrel (arm64): CondiS_0.1.2.tgz, r-release (x86_64): CondiS_0.1.2.tgz, r-oldrel (x86_64): CondiS_0.1.2.tgz
Old sources: CondiS archive


Please use the canonical form to link to this page.