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SCORNET  

Semi-Supervised Calibration of Risk with Noisy Event Times
View on CRAN: Click here


Download and install SCORNET package within the R console
Install from CRAN:
install.packages("SCORNET")

Install from Github:
library("remotes")
install_github("cran/SCORNET")

Install by package version:
library("remotes")
install_version("SCORNET", "0.1.1")



Attach the package and use:
library("SCORNET")
Maintained by
Yuri Ahuja
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-12
Latest Update: 2021-01-04
Description:
A consistent, semi-supervised, non-parametric survival curve estimator optimized for efficient use of Electronic Health Record (EHR) data with a limited number of current status labels. See van der Laan and Robins (1997) .
How to cite:
Yuri Ahuja (2020). SCORNET: Semi-Supervised Calibration of Risk with Noisy Event Times. R package version 0.1.1, https://cran.r-project.org/web/packages/SCORNET. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2020-11-12 19:20)
Other packages that cited SCORNET R package
View SCORNET citation profile
Other R packages that SCORNET depends, imports, suggests or enhances
Complete documentation for SCORNET
Functions, R codes and Examples using the SCORNET R package
Some associated functions: SCORNET-package . scornet . 
Some associated R codes: RcppExports.R . SCORNET.R . package.R .  Full SCORNET package functions and examples
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