Check how good your model is using “Performance”package
Added Thursday Dec 31st, 2020
What is this?
Excerpt from site: 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.
- Link to review video by Yury Zablotski here: https://www.youtube.com/watch?fbclid=IwAR296jgFcxLDNHE0zatJlMWGFb8RTVcWfYpRQ9261wzvlacp8M0BDs1K3iI&v=EPIxQ5i5oxs&feature=youtu.be
- Link to CRAN vignette here: https://cran.r-project.org/web/packages/performance/performance.pdf
- Link to repo here: https://easystats.github.io/performance/