Censored Data Imputation for Direct Modeling R package CondiS version 0.1.2 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. Software Depends: R (>= 3.6) Imports: caret, survival, kernlab, purrr, tidyverse, survminer Suggests: rmarkdown, knitr Yizhuo Wang <ywang70@mdanderson.org> Comprehensive R Archive Network (CRAN) Yizhuo Wang [aut, cre] (ORCID: <https://orcid.org/0000-0002-1870-0019>), Ziyi Li [aut], Xuelin Huang [aut], Christopher Flowers [ctb] GPL-2 2022-04-17 application/tgz https://CRAN.R-project.org/package=CondiS doi:10.32614/CRAN.package.CondiS