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probably  

Tools for Post-Processing Predicted Values
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", "1.0.3")



Attach the package and use:
library("probably")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
First Published: 2018-12-18
Latest Update: 2023-06-29
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 1.0.3, https://cran.r-project.org/web/packages/probably. Accessed 10 Apr. 2025.
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)
Other packages that cited probably R package
View probably citation profile
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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