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caROC

0.1.5Package record

Continuous Biomarker Evaluation with Adjustment of Covariates

0packages depend
3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About
Maintained by Ziyi LiCRAN page ↗

Compute covariate-adjusted specificity at controlled sensitivity level, or covariate-adjusted sensitivity at controlled specificity level, or covariate-adjust receiver operating characteristic curve, or covariate-adjusted thresholds at controlled sensitivity/specificity level. All statistics could also be computed for specific sub-populations given their covariate values. Methods are described in Ziyi Li, Yijian Huang, Datta Patil, Martin G. Sanda (2021+) "Covariate adjustment in continuous biomarker assessment".

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Ziyi Li <zli16@mdanderson.org>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Ziyi",
                    family = "Li",
                    role = c("aut", "cre"),
                    email = "zli16@mdanderson.org")
as necessary.

CRAN check page ↗

Slowest check: 3.5 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.5
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
9
Examples that run
100%9 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3K
CRAN downloads in the past year
Rank #14,569 · ~8/day · ~247/mo
Daily download trend is not available in this view yet.
26230 days
82590 days
3K1 year
Compare downloads with other packages →
Also on84 r2u13 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing caROC adds 4 packages (2 with compiled code, 1.4 MB of source tarballs). Heaviest: quantreg 903 KB, SparseM 540 KB, MatrixModels 24 KB.

Depends (3)
Imports (0)
none
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (1)

Maintainer since 0.1.5 (2021)

Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.5Latest
    2021-04-02 · current release
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-04-02
Total releases
1 / 5 yrs
License
GPL-2 OSI
Minimum R
≥ 4.0
Download size
119 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("caROC")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for caROC version 0.1.5 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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