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 [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:

Reference manual:	CondiS.pdf
Vignettes:	introduction

Downloads:

Package source:	CondiS_0.1.2.tar.gz
Windows binaries:	r-devel: CondiS_0.1.2.zip, r-release: CondiS_0.1.2.zip, r-oldrel: CondiS_0.1.2.zip
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

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