Package: smoothROCtime 0.1.0

Susana Diaz-Coto

smoothROCtime: Smooth Time-Dependent ROC Curve Estimation

Computes smooth estimations for the Cumulative/Dynamic and Incident/Dynamic ROC curves, in presence of right censorship, based on the bivariate kernel density estimation of the joint distribution function of the Marker and Time-to-event variables.

Authors:Susana Diaz-Coto <UO266718@uniovi.es>

smoothROCtime_0.1.0.tar.gz
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smoothROCtime.pdf |smoothROCtime.html✨
smoothROCtime/json (API)

# Install 'smoothROCtime' in R:
install.packages('smoothROCtime', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 407 downloads 2 exports 13 dependencies

Last updated 6 years agofrom:de58250ad8. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-linuxNOTEMar 22 2025
R-4.4-linuxNOTEMar 22 2025

Exports:funcenstRoc

Dependencies:FNNkernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmepracmaRcpp

Citation

To cite package ‘smoothROCtime’ in publications use:

Diaz-Coto S (2018). smoothROCtime: Smooth Time-Dependent ROC Curve Estimation. R package version 0.1.0, https://CRAN.R-project.org/package=smoothROCtime.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {smoothROCtime: Smooth Time-Dependent ROC Curve
      Estimation},
    author = {Susana Diaz-Coto},
    year = {2018},
    note = {R package version 0.1.0},
    url = {https://CRAN.R-project.org/package=smoothROCtime},
  }