Package: bcROCsurface 1.0-6

Duc-Khanh To

bcROCsurface: Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests

The bias-corrected estimation methods for the receiver operating characteristics ROC surface and the volume under ROC surfaces (VUS) under missing at random (MAR) assumption.

Authors:Duc-Khanh To, with contributions from Monica Chiogna and Gianfranco Adimari

bcROCsurface_1.0-6.tar.gz
bcROCsurface_1.0-6.tar.gz(r-4.5-noble)bcROCsurface_1.0-6.tar.gz(r-4.4-noble)
bcROCsurface_1.0-6.tgz(r-4.4-emscripten)bcROCsurface_1.0-6.tgz(r-4.3-emscripten)
bcROCsurface.pdf |bcROCsurface.html✨
bcROCsurface/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/toduckhanh/bcrocsurface/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • EOC - A sub-data from Pre-PLCO Phase II Dataset

2.45 score 14 scripts 353 downloads 2 mentions 10 exports 33 dependencies

Last updated 1 years agofrom:e739afc288. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 24 2024
R-4.5-linux-x86_64OKNov 24 2024

Exports:asy_cov_tcfasy_var_vuscv_knnpre_datapsglmrho_knnrho_mlogitrocsrocs.tcfvus_mar

Dependencies:base64encbootbslibcachemclidigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimennetR6rappdirsRcppRcppArmadillorglrlangrmarkdownsasstinytexxfunyaml

Guide for use bcROCsurface

Khanh To Duc

Rendered fromexample.Rmdusingknitr::rmarkdownon Nov 24 2024.

Last update: 2023-09-09
Started: 2016-11-17