Official channel of {easystats}, a collection of #rstats 📦s with a unifying and consistent framework for statistical modeling, visualization, and reporting.
“Statistics are like sausages. It’s better not to see them being made, unless you use easystats.”
easystats
Loading...
🔗 Want to dive deeper? Check out the full changelogs, explore the complete ecosystem documentation, or open an issue on our GitHub page:
easystats.github.io/easystats/
Happy modeling! 🚀 #rstats #datascience #easystats
🚀 Big updates are here! A new round of #rstats #easystats releases is now live on CRAN, featuring major performance boosts and new features for parameters, bayestestR, performance, modelbased, and see.
Update via CRAN or grab the latest dev versions with:
`easystats::install_latest()`
📈 {performance} 0.17.0 makes model evaluation even smoother:
- test_likelihoodratio() now includes a -2LL criterion column
- check_predictions() for Bayesian models is standardized using {modelbased} under the hood
- Expanded troubleshooting docs for check_model()
