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CalibratR

0.1.2Package record

Mapping ML Scores to Calibrated Predictions

0packages dependsuggested by 1
4.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Transforms your uncalibrated Machine Learning scores to well-calibrated prediction estimates that can be interpreted as probability estimates. The implemented BBQ (Bayes Binning in Quantiles) model is taken from Naeini (2015, ISBN:0-262-51129-0). Please cite this paper: Schwarz J and Heider D, Bioinformatics 2019, 35(14):2458-2465.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Dominik Heider <heiderd@mathematik.uni-marburg.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Johanna",
                      family = "Schwarz",
                      role = "aut"),
               person(given = "Dominik",
                      family = "Heider",
                      role = c("aut", "cre"),
                      email = "heiderd@mathematik.uni-marburg.de"))
as necessary.

CRAN check page ↗

Slowest check: 2.7 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.2
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
39
Examples that run
100%5 run in a plain check
Exported functions with examples
44%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

4.3K
CRAN downloads in the past year
Rank #9,805 · ~12/day · ~357/mo
Daily download trend is not available in this view yet.
40830 days
1K90 days
4.3K1 year
Compare downloads with other packages →
Also on81 r2u9 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing CalibratR adds 28 packages (13 with compiled code, 31 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, fitdistrplus 2.4 MB.

Depends (1)
R >= 2.10.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (from the free-text Author field) (2)
· added in 0.1.2

Maintainer since 0.1.1 (2018), previously Johanna Schwarz (0.1.0)

Releases (3)

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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.2Latest
    record
    2019-08-19 · current release · diff ↗ ·
    added 4 exports
    getECE, getMCE, build_GUESS, predict_GUESS
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.1
    record
    2018-08-27 · diff ↗
  • 0.1.0
    record
    2018-08-12
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-08-12
Total releases
3 / 8 yrs
License
LGPL-3 OSI
Minimum R
≥ 2.10.0
Bundled data
4.6 KB / 1 file
Download size
54 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("CalibratR")

The package provides a citation file, so citation() returns the authors' own entry.

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 CalibratR version 0.1.2 [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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