Package: SCORNET 0.1.2

Yuri Ahuja

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>.

Authors:Yuri Ahuja [aut, cre]

SCORNET_0.1.2.tar.gz
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SCORNET_0.1.2.tgz(r-4.4-x86_64)SCORNET_0.1.2.tgz(r-4.4-arm64)SCORNET_0.1.2.tgz(r-4.3-x86_64)SCORNET_0.1.2.tgz(r-4.3-arm64)
SCORNET_0.1.2.tar.gz(r-4.5-noble)SCORNET_0.1.2.tar.gz(r-4.4-noble)
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SCORNET.pdf |SCORNET.html✨
SCORNET/json (API)

# Install 'SCORNET' in R:

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

Bug tracker:https://github.com/celehs/scornet/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

4.48 score 3 stars 3 scripts 123 downloads 1 exports 10 dependencies

Last updated 4 years agofrom:a1890761c3. Checks:OK: 1 WARNING: 8. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 07 2024
R-4.5-win-x86_64	WARNING	Nov 07 2024
R-4.5-linux-x86_64	WARNING	Nov 07 2024
R-4.4-win-x86_64	WARNING	Nov 07 2024
R-4.4-mac-x86_64	WARNING	Nov 07 2024
R-4.4-mac-aarch64	WARNING	Nov 07 2024
R-4.3-win-x86_64	WARNING	Nov 07 2024
R-4.3-mac-x86_64	WARNING	Nov 07 2024
R-4.3-mac-aarch64	WARNING	Nov 07 2024