CRAN/E | CalibratR

CalibratR

Mapping ML Scores to Calibrated Predictions

Installation

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.

Citation CalibratR citation info

Key Metrics

Version 0.1.2
R ≥ 2.10.0
Published 2019-08-19 1705 days ago
Needs compilation? no
License LGPL-3
CRAN checks CalibratR results

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Maintainer

Maintainer

Dominik Heider

heiderd@mathematik.uni-marburg.de

Authors

Johanna Schwarz
Dominik Heider

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CalibratR archive

Depends

R ≥ 2.10.0

Imports

ggplot2
pROC
reshape2
parallel
foreach
stats
fitdistrplus
doParallel

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