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
Show author detailsRolesAuthor, ContributorJoseph Luchman
Mattan S. Ben-Shachar
Indrajeet Patil
Rémi Thériault
Martin Jullum
gjo11
Show author detailsRolesReviewer
Insights
Last 30 days
This package has been downloaded 89,078 times in the last 30 days. An impressive feat! Enough downloads to make even seasoned academics take note. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3,792 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 882,327 times in the last 365 days. This is starting to look legendary. Enough downloads to inspire a dedicated panel discussion! The day with the most downloads was Oct 22, 2024 with 4,468 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Suggests67 packages
- Reverse Imports20 packages
- Reverse Suggests12 packages