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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 hms.harvard.edu>
BugReports: https://github.com/celehs/SCORNET/issues
License: GPL-3
URL: https://github.com/celehs/SCORNET
NeedsCompilation: yes
Materials: README
CRAN checks: SCORNET results

Documentation:

Reference manual: SCORNET.pdf
Vignettes: Simulated Example

Downloads:

Package source: SCORNET_0.1.1.tar.gz
Windows binaries: r-devel: SCORNET_0.1.1.zip, r-release: SCORNET_0.1.1.zip, r-oldrel: SCORNET_0.1.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SCORNET to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.