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] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Brenton M. Wiernik [aut, ctb] (<https://orcid.org/0000-0001-9560-6336>), Rémi Thériault [aut, ctb] (<https://orcid.org/0000-0003-4315-6788>), Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>), Martin Jullum [rev], gjo11 [rev], Etienne Bacher [ctb] (<https://orcid.org/0000-0002-9271-5075>), Joseph Luchman [ctb] (<https://orcid.org/0000-0002-8886-9717>)
MaintainerDaniel Lüdecke <d.luedecke@uke.de>
LicenseGPL-3
Version0.12.4
URL https://easystats.github.io/performance/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("performance")

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performance documentation built on Oct. 19, 2024, 1:07 a.m.