calibrationband
Calibration Bands
Package to assess the calibration of probabilistic classifiers using confidence bands for monotonic functions. Besides testing the classical goodness-of-fit null hypothesis of perfect calibration, the confidence bands calculated within that package facilitate inverted goodness-of-fit tests whose rejection allows for a sought-after conclusion of a sufficiently well-calibrated model. The package creates flexible graphical tools to perform these tests. For construction details see also Dimitriadis, Dümbgen, Henzi, Puke, Ziegel (2022) <arXiv:2203.04065>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling linux/jammy R-4.5 | calibrationband_0.2.1.tar.gz |
202.4 KiB |
0.2.1 |
rolling linux/noble R-4.5 | calibrationband_0.2.1.tar.gz |
203.4 KiB |
0.2.1 |
rolling source/ R- | calibrationband_0.2.1.tar.gz |
136.5 KiB |
0.2.1 |
latest linux/jammy R-4.5 | calibrationband_0.2.1.tar.gz |
202.4 KiB |
0.2.1 |
latest linux/noble R-4.5 | calibrationband_0.2.1.tar.gz |
203.4 KiB |
0.2.1 |
latest source/ R- | calibrationband_0.2.1.tar.gz |
136.5 KiB |
0.2.1 |
2026-04-26 source/ R- | calibrationband_0.2.1.tar.gz |
136.5 KiB |
0.2.1 |
2026-04-23 source/ R- | calibrationband_0.2.1.tar.gz |
136.5 KiB |
0.2.1 |
2026-04-09 windows/windows R-4.5 | calibrationband_0.2.1.zip |
525.3 KiB |
0.2.1 |
2025-04-20 source/ R- | calibrationband_0.2.1.tar.gz |
136.5 KiB |