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.
- Version0.12.4
- R version≥ 3.6
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- performance citation info
- Last release10/18/2024
Documentation
Team
Daniel Lüdecke
MaintainerShow author detailsVincent Arel-Bundock
Etienne Bacher
Philip Waggoner
Dominique Makowski
Brenton M. Wiernik
Joseph Luchman
Mattan S. Ben-Shachar
Indrajeet Patil
Rémi Thériault
Martin Jullum
Show author detailsRolesReviewergjo11
Show author detailsRolesReviewer
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- Imports2 packages
- Suggests67 packages
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