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CalibratR  

Mapping ML Scores to Calibrated Predictions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CalibratR", "0.1.2")



Attach the package and use:
library("CalibratR")
Maintained by
Dominik Heider
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-12
Latest Update: 2019-08-19
Description:
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.
How to cite:
Dominik Heider (2018). CalibratR: Mapping ML Scores to Calibrated Predictions. R package version 0.1.2, https://cran.r-project.org/web/packages/CalibratR. Accessed 18 Sep. 2026.
Previous versions and publish date:
0.1.0 (2018-08-12 00:10), 0.1.1 (2018-08-27 11:56), (2026-07-09 08:00)
Other packages that cited CalibratR R package
View CalibratR citation profile
Other R packages that CalibratR depends, imports, suggests or enhances
Complete documentation for CalibratR
Functions, R codes and Examples using the CalibratR R package
Some associated functions: BBQ_CV . GUESS_CV . binom_for_histogram . build_BBQ . build_GUESS . build_hist_binning . calibrate . calibrate_me . calibrate_me_CV_errors . compare_models_visual . evaluate_discrimination . example . format_values . getECE . getMCE . getRMSE . get_Brier_score . get_CLE_class . get_CLE_comparison . get_ECE_equal_width . get_MCE_equal_width . hist_binning_CV . plot_class_distributions . plot_model . predict_BBQ . predict_GUESS . predict_calibratR . predict_hist_binning . predict_model . rd_multiple_runs . reliability_diagramm . scale_me . statistics_calibratR . transform_me . uncalibrated_CV . visualize_calibratR . visualize_calibrated_test_set . visualize_distribution . visualize_error_boxplot . 
Some associated R codes: BBQ_CV.R . CLES_in_comparison.R . GUESS_CV.R . binomtest_for_bin.R . build_BBQ.R . build_GUESS.R . build_hist_binning.R . build_hist_binning_CV.R . calibratR.R . calibrate_me.R . calibrate_me_CV_errors_parallel.R . compare_models_visual.R . evaluate_discrimination.R . example.R . format_values.R . getECE.R . getMCE.R . getRMSE.R . get_Brier_score.R . get_CLE.R . no_calibration_CV.R . plot_class_distributions.R . plot_model.R . predict_BBQ.R . predict_GUESS.R . predict_calibratR_parallel.R . predict_hist_binning.R . predict_model.R . rd_multiple_runs.R . reliability_diagram.R . statistics_calibratR.R . visualize_calibratR.R . visualize_calibrated_test_set.R . visualize_distribution.R . visualize_errors.R .  Full CalibratR package functions and examples
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