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performance  

Assessment of Regression Models Performance
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("performance", "0.15.3")



Attach the package and use:
library("performance")
Maintained by
Daniel Lüdecke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-24
Latest Update: 2025-07-10
Description:
Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) ), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: L
How to cite:
Daniel Lüdecke (2019). performance: Assessment of Regression Models Performance. R package version 0.15.3, https://cran.r-project.org/web/packages/performance. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-09-10 12:30), 0.1.0 (2019-04-24 18:40), 0.2.0 (2019-06-04 11:00), 0.3.0 (2019-08-05 14:50), 0.4.0 (2019-10-21 22:50), 0.4.2 (2019-12-11 11:40), 0.4.3 (2020-01-22 09:30), 0.4.4 (2020-02-10 22:50), 0.4.5 (2020-03-28 06:50), 0.4.6 (2020-05-03 16:10), 0.4.7 (2020-06-14 16:40), 0.4.8 (2020-07-27 07:10), 0.5.0 (2020-09-12 11:20), 0.5.1 (2020-10-29 14:20), 0.6.0 (2020-12-01 18:50), 0.6.1 (2020-12-09 18:30), 0.7.0 (2021-02-03 20:40), 0.7.1 (2021-04-09 12:30), 0.7.2 (2021-05-17 10:20), 0.7.3 (2021-07-21 06:50), 0.8.0 (2021-10-01 11:30), 0.9.0 (2022-03-30 09:40), 0.9.1 (2022-06-20 12:20), 0.9.2 (2022-08-10 13:50), 0.10.0 (2022-10-03 16:40), 0.10.1 (2022-11-25 09:30), 0.10.2 (2023-01-12 10:00), 0.10.3 (2023-04-07 19:00), 0.10.4 (2023-06-02 13:30), 0.10.5 (2023-09-12 10:50), 0.10.7 (2023-10-28 00:40), 0.10.8 (2023-10-30 09:40), 0.10.9 (2024-02-17 09:50), 0.11.0 (2024-03-22 23:20), 0.12.0 (2024-06-09 00:00), 0.12.1 (2024-07-15 18:20), 0.12.2 (2024-07-18 13:00), 0.12.3 (2024-09-02 19:50), 0.12.4 (2024-10-18 20:30), 0.13.0 (2025-01-15 15:10), 0.14.0 (2025-05-22 16:40), 0.15.0 (2025-07-10 12:20), 0.15.1 (2025-08-30 20:40), 0.15.2 (2025-10-06 10:20), 0.15.3 (2025-12-01 12:50), 0.16.0 (2026-02-04 13:00), 0.17.0 (2026-05-21 23:50), 0.17.1 (2026-06-30 13:50), 0.18.0 (2026-08-28 13:20), 0.18.1 (2026-09-01 11:50)
Other packages that cited performance R package
View performance citation profile
Other R packages that performance depends, imports, suggests or enhances
Complete documentation for performance
Functions, R codes and Examples using the performance R package
Some associated functions: binned_residuals . check_autocorrelation . check_clusterstructure . check_collinearity . check_convergence . check_distribution . check_factorstructure . check_heterogeneity_bias . check_heteroscedasticity . check_homogeneity . check_itemscale . check_model . check_multimodal . check_normality . check_outliers . check_overdispersion . check_predictions . check_singularity . check_sphericity . check_symmetry . check_zeroinflation . classify_distribution . compare_performance . cronbachs_alpha . display.performance_model . icc . item_difficulty . item_discrimination . item_intercor . item_reliability . item_split_half . looic . model_performance.ivreg . model_performance.kmeans . model_performance.lavaan . model_performance.lm . model_performance.merMod . model_performance . model_performance.rma . model_performance.stanreg . performance-package . performance_accuracy . performance_aicc . performance_cv . performance_hosmer . performance_logloss . performance_mae . performance_mse . performance_pcp . performance_rmse . performance_roc . performance_rse . performance_score . r2 . r2_bayes . r2_coxsnell . r2_efron . r2_kullback . r2_loo . r2_mcfadden . r2_mckelvey . r2_nagelkerke . r2_nakagawa . r2_somers . r2_tjur . r2_xu . r2_zeroinflated . reexports . test_performance . 
Some associated R codes: binned_residuals.R . check_autocorrelation.R . check_clusterstructure.R . check_collinearity.R . check_concurvity.R . check_convergence.R . check_distribution.R . check_factorstructure.R . check_heterogeneity_bias.R . check_heteroscedasticity.R . check_homogeneity.R . check_htest.R . check_itemscale.R . check_model.R . check_model_diagnostics.R . check_multimodal.R . check_normality.R . check_outliers.R . check_overdispersion.R . check_predictions.R . check_singularity.R . check_sphericity.R . check_symmetry.R . check_zeroinflation.R . compare_performance.R . cronbachs_alpha.R . display.R . format.R . get_gradients.R . helpers.R . icc.R . item_difficulty.R . item_discrimination.R . item_intercor.R . item_reliability.R . item_split_half.R . logLik.R . looic.R . model_performance.R . model_performance.bayesian.R . model_performance.bife.R . model_performance.ivreg.R . model_performance.kmeans.R . model_performance.lavaan.R . model_performance.lm.R . model_performance.mixed.R . model_performance.rma.R . model_performance_default.R . performance-package.R . performance_accuracy.R . performance_aicc.R . performance_cv.R . performance_hosmer.R . performance_logloss.R . performance_mae.R . performance_mse.R . performance_pcp.R . performance_rmse.R . performance_roc.R . performance_rse.R . performance_score.R . print-methods.R . print_md.R . r2.R . r2_bayes.R . r2_ci.R . r2_coxsnell.R . r2_efron.R . r2_kl.R . r2_loo.R . r2_mcfadden.R . r2_mckelvey.R . r2_nagelkerke.R . r2_nakagawa.R . r2_somers.R . r2_tjur.R . r2_xu.R . r2_zeroinflated.R . residuals.R . skewness_kurtosis.R . test_bf.R . test_likelihoodratio.R . test_performance.R . test_vuong.R . test_wald.R .  Full performance package functions and examples
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