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CondiS
View on CRAN: Click
here
Download and install CondiS package within the R console
Install from CRAN:
install.packages("CondiS")
Install from Github:
library("remotes")
install_github("cran/CondiS")
Install by package version:
library("remotes")
install_version("CondiS", "0.1.2")
Attach the package and use:
library("CondiS")
Maintained by
Yizhuo Wang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-13
Latest Update: 2022-04-17
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.
How to cite:
Yizhuo Wang (2022). CondiS: Censored Data Imputation for Direct Modeling. R package version 0.1.2, https://cran.r-project.org/web/packages/CondiS
Previous versions and publish date:
0.1.1 (2022-01-13 20:32)
Other packages that cited CondiS R package
View CondiS citation profile
Other R packages that CondiS depends,
imports, suggests or enhances
Functions, R codes and Examples using
the CondiS R package
Some associated functions: CondiS . CondiS_X .
Some associated R codes: CondiS-X.R . CondiS.R . Full CondiS package functions and examples
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