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-4.7-arm64)bcROCsurface_1.0-6.tar.gz(r-4.7-x86_64)bcROCsurface_1.0-6.tar.gz(r-4.6-arm64)bcROCsurface_1.0-6.tar.gz(r-4.6-x86_64)
bcROCsurface_1.0-6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bcROCsurface/json (API)
NEWS

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

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

On CRAN:

Conda:

openblascpp

2.51 score 16 scripts 332 downloads 2 mentions 10 exports 32 dependencies

Last updated from:e739afc288. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK186
linux-devel-x86_64OK152
source / vignettesOK185
linux-release-arm64OK143
linux-release-x86_64OK180
wasm-releaseOK166

Exports:asy_cov_tcfasy_var_vuscv_knnpre_datapsglmrho_knnrho_mlogitrocsrocs.tcfvus_mar

Dependencies:base64encbootbslibcachemclidigestevaluatefastmapfontawesomefshighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimennetR6rappdirsRcppRcppArmadillorglrlangrmarkdownsasstinytexxfunyaml

Guide for use bcROCsurface

Khanh To Duc

Rendered fromexample.Rmdusingknitr::rmarkdownon Jun 19 2026.

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