easystats/performance

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

RTeXmachine-learningperformancerstatisticsmodelshacktoberfestmixed-modelsr2aiceasystatsloo
This is stars and forks stats for /easystats/performance repository. As of 02 May, 2024 this repository has 878 stars and 79 forks.

performance Test if your model is a good model! A crucial aspect when building regression models is to evaluate the quality of modelfit. It is important to investigate how well models fit to the data and which fit indices to report. Functions to create diagnostic plots or to compute fit measures do exist, however, mostly spread over different packages. There is no unique and consistent approach to assess the model quality for different kind of models. The primary goal of the performance package...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
rstudio-education/shiny.rstudio.com-tutorialRHTML29103140
datasci-for-ecologists/climateR00190
TurtleKitty/DatastoreRacket0000
IAOldman/parallelsRich Text Format500220
SCOREC/pumi-meshesRoff4050
gkjohnson/threejs-sandboxRoffJavaScriptHTML5920880
tauri-apps/wryRustKotlinOther2.8k01970
sycamore-rs/sycamoreRustOther2.5k01390
thedodd/trunkRustHTMLOther2.8k02120
stuhlmueller/sineSchemePythonR5000