Package: intcensROC 0.1.3

Yuan Wu

intcensROC: 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).

Authors:Jiaxing Lin, Yuan Wu, Xiaofei Wang, Kouros Owzar.

intcensROC_0.1.3.tar.gz
intcensROC_0.1.3.tar.gz(r-4.5-noble)intcensROC_0.1.3.tar.gz(r-4.4-noble)
intcensROC_0.1.3.tgz(r-4.4-emscripten)intcensROC_0.1.3.tgz(r-4.3-emscripten)
intcensROC.pdf |intcensROC.html
intcensROC/json (API)
NEWS

# Install 'intcensROC' in R:
install.packages('intcensROC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

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

2.00 score 8 scripts 180 downloads 2 exports 3 dependencies

Last updated 3 years agofrom:ea2adeaafb. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-linux-x86_64NOTENov 01 2024

Exports:intcensAUCintcensROC

Dependencies:pracmaRcppRcppEigen

intcensROC

Rendered fromintcensROC.Rnwusingknitr::knitron Nov 01 2024.

Last update: 2021-06-15
Started: 2018-05-02