Check how good your model is using Performance package

statistics
package
Author

Dr. Joscelin Rocha-Hidalgo

Published

December 31, 2020

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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.

  1. Link to review video by Yury Zablotski here: https://www.youtube.com/watch?fbclid=IwAR296jgFcxLDNHE0zatJlMWGFb8RTVcWfYpRQ9261wzvlacp8M0BDs1K3iI&v=EPIxQ5i5oxs&feature=youtu.be
  2. Link to CRAN vignette here: https://cran.r-project.org/web/packages/performance/performance.pdf
  3. Link to repo here: https://easystats.github.io/performance/

Hex sticker for the R package performance, featuring a cartoon black monster and a panel of three judges holding score cards with 8, 9, and 7, all on a green background with a purple border.

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