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 [aut, cre], Ziyi Li [aut], Xuelin Huang [aut], Christopher Flowers [ctb] Maintainer: Yizhuo Wang <ywang70 at mdanderson.org> License: GPL-2 NeedsCompilation: no CRAN checks: CondiS results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CondiS to link to this page.
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