Mapping ML Scores to Calibrated Predictions
Overview
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
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.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- 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
Dependencies
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.
Code & Tests
Datasets
People & History
Maintainer since 0.1.1 (2018), previously Johanna Schwarz (0.1.0)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.2Latest
- RR 3.6.0 released · 2019-04-26
- 0.1.12018-08-27 · diff ↗
- 0.1.02018-08-12
- RR 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.
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