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calibrationband  

Calibration Bands
View on CRAN: Click here


Download and install calibrationband package within the R console
Install from CRAN:
install.packages("calibrationband")

Install from Github:
library("remotes")
install_github("cran/calibrationband")

Install by package version:
library("remotes")
install_version("calibrationband", "0.2.1")



Attach the package and use:
library("calibrationband")
Maintained by
Marius Puke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-09
Latest Update: 2022-08-09
Description:
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, D
How to cite:
Marius Puke (2022). calibrationband: Calibration Bands. R package version 0.2.1, https://cran.r-project.org/web/packages/calibrationband. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2022-08-09 14:00)
Other packages that cited calibrationband R package
View calibrationband citation profile
Other R packages that calibrationband depends, imports, suggests or enhances
Complete documentation for calibrationband
Functions, R codes and Examples using the calibrationband R package
Some associated functions: calibration_bands . plot.calibrationband . print.calibrationband . reexports . summary.calibrationband . 
Some associated R codes: RcppExports.R . calibration_bands.R . plot.R . print.R . summary.R . utils.R .  Full calibrationband package functions and examples
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