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calibrationband
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]
[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 01 Feb. 2025.
Previous versions and publish date:
0.1.0 (2022-08-09 14:00)
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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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