intcensROC: Fast Spline Function Based Constrained Maximum Likelihood Estimator for AUC Estimation of Interval Censored Survival Data

The kernel of this 'Rcpp' based package is an efficient implementation of the generalized gradient projection method for spline function based constrained maximum likelihood estimator for interval censored survival data (Wu, Yuan; Zhang, Ying. Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data. Ann. Statist. 40, 2012, 1609-1636 <doi:10.1214/12-AOS1016>). The key function computes the density function of the joint distribution of event time and the marker and returns the receiver operating characteristic (ROC) curve for the interval censored survival data as well as area under the curve (AUC).

Version: 0.1.1
Imports: Rcpp (≥ 0.12.4), pracma
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, copula
Published: 2018-05-02
Author: Jiaxing Lin, Yuan Wu, Xiaofei Wang, Kouros Owzar.
Maintainer: Jiaxing Lin <jiaxing.lin at duke.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://bitbucket.org/impactp01/intcensroc
NeedsCompilation: yes
Materials: NEWS
CRAN checks: intcensROC results

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Reference manual: intcensROC.pdf
Vignettes: intcensROC
Package source: intcensROC_0.1.1.tar.gz
Windows binaries: r-devel: intcensROC_0.1.1.zip, r-devel-gcc8: intcensROC_0.1.1.zip, r-release: intcensROC_0.1.1.zip, r-oldrel: intcensROC_0.1.1.zip
OS X binaries: r-release: intcensROC_0.1.1.tgz, r-oldrel: intcensROC_0.1.1.tgz
Old sources: intcensROC archive

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