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scoringutils  

Utilities for Scoring and Assessing Predictions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("scoringutils", "2.1.0")



Attach the package and use:
library("scoringutils")
Maintained by
Nikos Bosse
[Scholar Profile | Author Map]
First Published: 2020-06-14
Latest Update: 2023-01-30
Description:
Provides a collection of metrics and proper scoring rules (Tilmann Gneiting & Adrian E Raftery (2007) , Jordan, A., Kr
How to cite:
Nikos Bosse (2020). scoringutils: Utilities for Scoring and Assessing Predictions. R package version 2.1.0, https://cran.r-project.org/web/packages/scoringutils. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2020-06-14 17:00), 0.1.4 (2020-11-17 11:30), 0.1.7.2 (2021-07-21 11:40), 0.1.7 (2021-07-14 12:20), 1.0.0 (2022-05-13 22:20), 1.0.1 (2022-08-17 00:00), 1.1.0 (2023-01-30 18:30), 1.2.2 (2023-11-29 16:50), 2.0.0 (2024-10-31 21:40)
Other packages that cited scoringutils R package
View scoringutils citation profile
Other R packages that scoringutils depends, imports, suggests or enhances
Complete documentation for scoringutils
Functions, R codes and Examples using the scoringutils R package
Some associated functions: abs_error . add_coverage . ae_median_quantile . ae_median_sample . avail_forecasts . available_metrics . bias_quantile . bias_range . bias_sample . brier_score . check_equal_length . check_forecasts . check_metrics . check_not_null . check_predictions . check_quantiles . check_summary_params . check_true_values . collapse_messages . compare_two_models . correlation . crps_sample . delete_columns . dss_sample . example_binary . example_continuous . example_integer . example_point . example_quantile . example_quantile_forecasts_only . example_truth_only . find_duplicates . geom_mean_helper . get_forecast_unit . get_prediction_type . get_protected_columns . get_target_type . infer_rel_skill_metric . interval_score . is_scoringutils_check . log_shift . logs_binary . logs_sample . mad_sample . make_NA . merge_pred_and_obs . metrics . pairwise_comparison . pairwise_comparison_one_group . permutation_test . pit . pit_sample . plot_avail_forecasts . plot_correlation . plot_heatmap . plot_interval_coverage . plot_pairwise_comparison . plot_pit . plot_predictions . plot_quantile_coverage . plot_ranges . plot_score_table . plot_wis . prediction_is_quantile . print.scoringutils_check . quantile_score . quantile_to_range_long . range_long_to_quantile . sample_to_quantile . sample_to_range_long . score . score_binary . score_quantile . score_sample . scoringutils-package . se_mean_sample . set_forecast_unit . squared_error . summarise_scores . theme_scoringutils . transform_forecasts . 
Some associated R codes: avail_forecasts.R . bias.R . brier_score.R . check_forecasts.R . convenience-functions.R . correlations.R . data.R . input-check-helpers.R . interval_score.R . log_score.R . metrics_point_forecasts.R . pairwise-comparisons.R . pit.R . plot.R . score.R . score_binary.R . score_continuous_integer.R . score_quantile.R . scoringRules_wrappers.R . scoringutils-package.R . scoringutils.R . sharpness.R . summarise_scores.R . utils.R . utils_data_handling.R . zzz.R .  Full scoringutils package functions and examples
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