Package: calibrationband 0.1.1

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>.

Authors:Timo Dimitriadis [aut], Alexander Henzi [aut], Marius Puke [aut, cre]

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calibrationband.pdf |calibrationband.html
calibrationband/json (API)
NEWS

# Install 'calibrationband' in R:
install.packages('calibrationband', repos = c('https://marius-cp.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/marius-cp/calibrationband/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3 exports 10 stars 1.47 score 38 dependencies 10 scripts 267 downloads

Last updated 2 years agofrom:21c8ff2544. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-win-x86_64NOTESep 12 2024
R-4.5-linux-x86_64NOTESep 12 2024
R-4.4-win-x86_64NOTESep 12 2024
R-4.4-mac-x86_64NOTESep 12 2024
R-4.4-mac-aarch64NOTESep 12 2024
R-4.3-win-x86_64OKSep 12 2024
R-4.3-mac-x86_64OKSep 12 2024
R-4.3-mac-aarch64OKSep 12 2024

Exports:autolayerautoplotcalibration_bands

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerRcpprlangscalesspstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Confidence bands for monotone probabilitiescalibration_bands
Plotting monotone confidence bandsautolayer.calibrationband autoplot.calibrationband plot.calibrationband
Print monotone confidence bandsprint.calibrationband print.summary.calibrationband
summarize calibration band objectsummary.calibrationband