Package: CalibratR 0.1.2

Dominik Heider

CalibratR: Mapping ML Scores to Calibrated Predictions

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.

Authors:Johanna Schwarz, Dominik Heider

CalibratR_0.1.2.tar.gz
CalibratR_0.1.2.tar.gz(r-4.5-noble)CalibratR_0.1.2.tar.gz(r-4.4-noble)
CalibratR_0.1.2.tgz(r-4.4-emscripten)CalibratR_0.1.2.tgz(r-4.3-emscripten)
CalibratR.pdf |CalibratR.html
CalibratR/json (API)

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

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

9 exports 2 stars 0.49 score 40 dependencies 1 mentions 12 scripts 299 downloads

Last updated 5 years agofrom:5862b386b5. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-linuxOKAug 22 2024

Exports:build_GUESScalibrategetECEgetMCEpredict_calibratRpredict_GUESSreliability_diagrammstatistics_calibratRvisualize_calibratR

Dependencies:clicodetoolscolorspacedoParallelfansifarverfitdistrplusforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpROCR6RColorBrewerRcppreshape2rlangscalesstringistringrsurvivaltibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
BBQ_CVBBQ_CV
binom_for_histogrambinom_for_histogram
build_BBQbuild_BBQ
build_GUESSbuild_GUESS
build_hist_binningbuild_hist_binning
calibratecalibrate
calibrate_mecalibrate_me
calibrate_me_CV_errorscalibrate_me_CV_errors
compare_models_visualcompare_models_visual
evaluate_discriminationevaluate_discrimination
exampleexample
format_valuesformat_values
get_Brier_scoreget_Brier_score
get_CLE_classget_CLE_class
get_CLE_comparisonget_CLE_comparison
get_ECE_equal_widthget_ECE_equal_width
get_MCE_equal_widthget_MCE_equal_width
getECEgetECE
getMCEgetMCE
getRMSEgetRMSE
GUESS_CVGUESS_CV
hist_binning_CVhist_binning_CV
plot_class_distributionsplot_class_distributions
plot_modelplot_model
predict_BBQpredict_BBQ
predict_calibratRpredict_calibratR
predict_GUESSpredict_GUESS
predict_hist_binningpredict_hist_binning
predict_modelpredict_model
rd_multiple_runsrd_multiple_runs
reliability_diagrammreliability_diagramm
scale_mescale_me
statistics_calibratRstatistics_calibratR
transform_metransform_me
uncalibrated_CVuncalibrated_CV
visualize_calibrated_test_setvisualize_calibrated_test_set
visualize_calibratRvisualize_calibratR
visualize_distributionvisualize_distribution
visualize_error_boxplotvisualize_error_boxplot