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probably
View on CRAN: Click
here
Download and install probably package within the R console
Install from CRAN:
install.packages("probably")
Install from Github:
library("remotes")
install_github("cran/probably") Install by package version:
library("remotes")
install_version("probably", "1.2.0") Attach the package and use:
library("probably")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-18
Latest Update: 2025-07-30
Description:
Models can be improved by post-processing class
probabilities, by: recalibration, conversion to hard probabilities,
assessment of equivocal zones, and other activities. 'probably'
contains tools for conducting these operations as well as calibration
tools and conformal inference techniques for regression models.
How to cite:
Max Kuhn (2018). probably: Tools for Post-Processing Predicted Values. R package version 1.2.0, https://cran.r-project.org/web/packages/probably. Accessed 14 Jun. 2026.
Previous versions and publish date:
0.0.1 (2018-12-18 17:40), 0.0.2 (2019-03-07 18:40), 0.0.3 (2019-07-08 00:40), 0.0.4 (2020-01-13 18:00), 0.0.5 (2020-05-14 15:50), 0.0.6 (2020-06-05 16:00), 0.1.0 (2022-08-29 18:10), 1.0.0 (2023-06-02 00:50), 1.0.1 (2023-06-22 21:50), 1.0.2 (2023-06-29 20:10), 1.0.3 (2024-02-23 04:20), 1.1.0 (2025-05-21 15:30), 1.1.1 (2025-07-30 18:30)
Other packages that cited probably R package
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Other R packages that probably depends,
imports, suggests or enhances
Complete documentation for probably
Functions, R codes and Examples using
the probably R package
Some associated functions: append_class_pred . as_class_pred . boosting_predictions . cal_apply . cal_binary_tables . cal_estimate_beta . cal_estimate_isotonic . cal_estimate_isotonic_boot . cal_estimate_linear . cal_estimate_logistic . cal_estimate_multinomial . cal_plot_breaks . cal_plot_logistic . cal_plot_regression . cal_plot_windowed . cal_validate_beta . cal_validate_isotonic . cal_validate_isotonic_boot . cal_validate_linear . cal_validate_logistic . cal_validate_multinomial . class_pred . collect_metrics.cal_rset . collect_predictions.cal_rset . control_conformal_full . int_conformal_cv . int_conformal_full . int_conformal_quantile . int_conformal_split . is_class_pred . levels.class_pred . locate-equivocal . make_class_pred . predict.int_conformal_full . probably-package . reexports . reportable_rate . required_pkgs.cal_object . segment_naive_bayes . species_probs . threshold_perf .
Some associated R codes: cal-apply-binary.R . cal-apply-impl.R . cal-apply-multi.R . cal-apply-regression.R . cal-apply.R . cal-estimate-beta.R . cal-estimate-isotonic.R . cal-estimate-linear.R . cal-estimate-logistic.R . cal-estimate-multinom.R . cal-estimate-utils.R . cal-pkg-check.R . cal-plot-breaks.R . cal-plot-logistic.R . cal-plot-regression.R . cal-plot-utils.R . cal-plot-windowed.R . cal-utils.R . cal-validate.R . class-pred.R . conformal_infer.R . conformal_infer_cv.R . conformal_infer_quantile.R . conformal_infer_split.R . data.R . make_class_pred.R . printing.R . probably-package.R . reexports.R . threshold_perf.R . utils.R . vctrs-compat.R . zzz.R . Full probably package functions and examples
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