smoothROCtime-package

tools:::Rd_package_title("smoothROCtime")

tools:::Rd_package_description("smoothROCtime") package

Details

• funcen: Bivariate kernel density estimation of the joint density function of the $(marker, time-to-event)$ variable.
• stRoc: Smooth estimations for Cumulative/Dynamic and Incident/Dynamic ROC curves.
• plot.sROCt: Plots of Cumulative/Dynamic and Incident/Dyanmic ROC curve estimations.

Author(s)

tools:::Rd_package_author("smoothROCtime")

Maintainer: tools:::Rd_package_maintainer("smoothROCtime")

References

P. Martinez-Camblor and J. C. Pardo-Fernandez. Smooth time-dependent receiver operating characteristic curve estimators. Statistical Methods in Medical Research, 27(3):651-674, 2018. https://doi.org/10.1177/0962280217740786.

P. Martinez-Camblor, G. F-Bayon, and S. Perez-Fernandez. Cumulative/dynamic ROC curve estimation. JOURNAL of Statistical Computation and Simulation, 86(17):3582-3594, 2016. https://doi.org/10.1080/00949655.2016.1175442.

T. Duong. Bandwidth matrices for multivariate kernel density estimation. Ph.D. Thesis, University of Western, Australia, 2004.

L. Li, T. Green, and B. Hu. A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data. Statistical Methods in Medical Research, 27(8), 2016. https://doi.org/10.1177/0962280216680239.

See Also

CRAN package ks is used in this package.