CalibratR
0.1.2Mapping 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
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
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3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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