performance: Assessment of Regression Models Performance

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) <doi:10.1098/rsif.2017.0213>), 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: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.

Package details

AuthorDaniel Lüdecke [aut, cre] (<>, @strengejacke), Dominique Makowski [aut, ctb] (<>, @Dom_Makowski), Mattan S. Ben-Shachar [aut, ctb] (<>, @mattansb), Indrajeet Patil [aut, ctb] (<>, @patilindrajeets), Philip Waggoner [aut, ctb] (<>), Brenton M. Wiernik [aut, ctb] (<>, @bmwiernik), Vincent Arel-Bundock [ctb] (<>), Rémi Thériault [ctb] (<>, @rempsyc), Martin Jullum [rev], gjo11 [rev], Etienne Bacher [ctb] (<>)
MaintainerDaniel Lüdecke <>
Package repositoryView on CRAN
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performance documentation built on Nov. 2, 2023, 5:48 p.m.