Package: CondiS 0.1.2

Yizhuo Wang

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.

Authors:Yizhuo Wang [aut, cre], Ziyi Li [aut], Xuelin Huang [aut], Christopher Flowers [ctb]

CondiS_0.1.2.tar.gz
CondiS_0.1.2.zip(r-4.7-any)CondiS_0.1.2.zip(r-4.6-any)CondiS_0.1.2.zip(r-4.5-any)
CondiS_0.1.2.tgz(r-4.6-any)CondiS_0.1.2.tgz(r-4.5-any)
CondiS_0.1.2.tar.gz(r-4.7-any)CondiS_0.1.2.tar.gz(r-4.6-any)
CondiS_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CondiS/json (API)

# Install 'CondiS' in R:

install.packages('CondiS', repos = c('https://yizhuo-wang.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 334 downloads 2 exports 186 dependencies

Last updated from:967222b2f8. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	186
source / vignettes	OK	257
linux-release	NOTE	195
macos-release	NOTE	185
macos-oldrel	NOTE	189
windows-devel	NOTE	86
windows-release	NOTE	122
windows-oldrel	NOTE	136
wasm-release	OK	146