SCORNET: Semi-Supervised Calibration of Risk with Noisy Event Times

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) <doi:10.2307/2670119>.

Version: 0.1.1
Imports: Matrix, survival, pracma, foreach, doParallel, parallel, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2021-01-04
DOI: 10.32614/CRAN.package.SCORNET
Author: Yuri Ahuja [aut, cre]
Maintainer: Yuri Ahuja <Yuri_Ahuja at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: SCORNET results


Reference manual: SCORNET.pdf
Vignettes: Simulated Example


Package source: SCORNET_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SCORNET_0.1.1.tgz, r-oldrel (arm64): SCORNET_0.1.1.tgz, r-release (x86_64): SCORNET_0.1.1.tgz, r-oldrel (x86_64): SCORNET_0.1.1.tgz
Old sources: SCORNET archive


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