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reportROC

3.6Package record

An Easy Way to Report ROC Analysis

1packages depend
5.5Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the value of Cutoff, AUC (Area Under Curve), ACC (accuracy), SEN (sensitivity), SPE (specificity), PLR (positive likelihood ratio), NLR (negative likelihood ratio), PPV (positive predictive value), NPV (negative predictive value), PPA (percentage of positive accordance), NPA (percentage of negative accordance), TPA (percentage of total accordance), KAPPA (kappa value).

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Zhicheng Du<dgdzc@hotmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Zhicheng",
                      family = "Du",
                      role = c("aut", "cre"),
                      email = "dgdzc@hotmail.com"),
               person(given = "Yuantao",
                      family = "Hao",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 57 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 3.6
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
50%

Downloads

5.5K
CRAN downloads in the past year
Rank #8,117 · ~15/day · ~462/mo
Daily download trend is not available in this view yet.
41830 days
1.1K90 days
5.5K1 year
Compare downloads with other packages →
Also on87 r2u4 autocran848 conda_forge

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing reportROC adds 6 packages (5 with compiled code, 5.9 MB of source tarballs). Heaviest: colorspace 2.0 MB, Rcpp 1.8 MB, zoo 675 KB.

Depends (0)
none
Imports (3)
pROCvcdmethods
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Depends 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (from the free-text Author field) (2)

Maintainer since 1.0 (2017)

Releases (9)

Pick two releases to compare their code metrics.

  • 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
  • 3.6Latest
    record
    2022-06-17 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 3.5
    record
    2020-07-21 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 3.4
    record
    2019-07-29 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 3.3
    record
    2019-04-08 · diff ↗
  • 3.2
    record
    2018-09-02 · diff ↗
  • 3.1
    record
    2018-08-02 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 3.0
    record
    2017-10-30 · diff ↗
Show 4 earlier eventsHide 4 earlier events
  • 2.0
    record
    2017-10-12 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0
    record
    2017-04-17
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-04-17
Total releases
9 / 9 yrs
License
GPL-3 OSI
Bundled data
1.6 KB / 1 file
Download size
11 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("reportROC")

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 reportROC version 3.6 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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