Crandore Hub

CalibratR

Mapping ML Scores to Calibrated Predictions

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.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 CalibratR_0.1.2.tar.gz 242.1 KiB
0.1.2 rolling linux/noble R-4.5 CalibratR_0.1.2.tar.gz 242.1 KiB
0.1.2 rolling source/ R- CalibratR_0.1.2.tar.gz 54.8 KiB
0.1.2 latest linux/jammy R-4.5 CalibratR_0.1.2.tar.gz 242.1 KiB
0.1.2 latest linux/noble R-4.5 CalibratR_0.1.2.tar.gz 242.1 KiB
0.1.2 latest source/ R- CalibratR_0.1.2.tar.gz 54.8 KiB
0.1.2 2026-04-26 source/ R- CalibratR_0.1.2.tar.gz 54.8 KiB
0.1.2 2026-04-23 source/ R- CalibratR_0.1.2.tar.gz 54.8 KiB
0.1.2 2026-04-09 windows/windows R-4.5 CalibratR_0.1.2.zip 246.8 KiB
0.1.2 2025-04-20 source/ R- CalibratR_0.1.2.tar.gz 54.8 KiB

Dependencies (latest)

Imports