Package: CondiS
Type: Package
Title: Censored Data Imputation for Direct Modeling
Version: 0.1.2
Authors@R: c(
    person("Yizhuo", "Wang", role=c("aut", "cre"), email="ywang70@mdanderson.org", comment = c(ORCID = "0000-0002-1870-0019")),
    person("Ziyi", "Li", role=c("aut")),
    person("Xuelin", "Huang", role=c("aut")),
	person("Christopher", "Flowers", role=c("ctb"))
    )
Description: 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.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: caret, survival, kernlab, purrr, tidyverse, survminer
NeedsCompilation: no
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
RoxygenNote: 7.1.2
Packaged: 2022-04-17 02:48:46 UTC; YWang70
Author: Yizhuo Wang [aut, cre] (<https://orcid.org/0000-0002-1870-0019>),
  Ziyi Li [aut],
  Xuelin Huang [aut],
  Christopher Flowers [ctb]
Maintainer: Yizhuo Wang <ywang70@mdanderson.org>
Repository: CRAN
Date/Publication: 2022-04-17 03:12:29 UTC
Built: R 4.6.0; ; 2026-05-01 05:50:34 UTC; unix
