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easystats
@easystats.github.io

Big news from the #rstats #easystats universe! 🚀 We’ve just released updates for several of our packages to CRAN. Time for a quick highlight reel of the most important new features. 🧵 (1/4) You find the details on the related package websites (shown below), and on CRAN.

easystats
@easystats.github.io

In {modelbased}, testing complex hypotheses is now even more flexible: `estimate_contrasts()` now supports `comparison = "omnibus"`, allowing you to easily calculate a global omnibus test for differences between levels of a predictor. 📊 (2/4) easystats.github.io/modelbased/

easystats.github.ioEstimation of Model-Based Predictions, Contrasts and MeansImplements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, s...
easystats
@easystats.github.io

{performance} brings powerful new tools for your model diagnostics: The new `check_priors()` function allows you to conduct prior predictive checks for Bayesian models, helping you better validate your model assumptions. 🔍 (3/4) easystats.github.io/performance/

easystats.github.ioAssessment of Regression Models PerformanceUtilities for computing measures to assess model quality, which are not directly provided by Rs base or stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient ...
easystats
@easystats.github.io

And the rest of the family is joining in: {parameters} now supports lavaan objects, {see} adds new plot methods, and {insight} delivers a major performance boost when processing large, nested list objects. 🚀 easystats.github.io/see/ easystats.github.io/parameters/ easystats.github.io/insight/

easystats.github.ioModel Visualisation Toolbox for easystats and ggplot2Provides plotting utilities supporting packages in the easystats ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for ggplot2. Color scales are based on <h...

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