Happy birthday easystats! Two years ago, which feels like yesterday, we celebrated the easystats project’s first anniversary. Wow, those were simpler times! One could travel for pleasure, party with dozens of people and have a face-to-face conver...

What is it? We are talking about the insight package. It is what allows other packages, like easystats (parameters, effectsize, performance, report, …) or ggstatsplot, sjstats or modelsummary to be as powerful as they are, supporting tons of di...

TLDR: BayestestR currently uses a 89% threshold by default for Credible Intervals (CI). Should we change that? If so, by what? Join the discussion here. Magical numbers, or conventional thresholds, have bad press in statistics, and there are many of...

TLDR: BayestestR currently uses a 89% threshold by default for Credible Intervals (CI). Should we change that? If so, by what? Join the discussion here. Magical numbers, or conventional thresholds, have bad press in statistics, and there are many of them. For instance, .05 (for the p-value), or the 95% range for the ...

In this tutorial, we will introduce multilevel correlations (or hierarchical / random-effects correlations) and how to compute them using the new correlations package from the easystats suite. You can install the updated version and load the package as follows:

install.packages("correlation")
library(correlation)

Data Imagine we have an experiment in which 10 individuals completed a ...

In this tutorial, we will introduce multilevel correlations (or hierarchical / random-effects correlations) and how to compute them using the new correlations package from the easystats suite. You can install the updated version and load the pack...

The correlation package The easystats project continues to grow with its more recent addition, a package devoted to correlations. Check-out its webpage here! It’s lightweight, easy to use, and allows for the computation of many different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, ...

The correlation package The easystats project continues to grow with its more recent addition, a package devoted to correlations. Check-out its webpage here! It’s lightweight, easy to use, and allows for the computation of many different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, ...

The Bayesian framework is powerful and allows for an incredible amount of flexibility and control over your analysis. That being said, newcomers often struggle with a lot of new concepts and tools and could benefit from some familiar grounding. And the p-value is a very familiar index (although paradoxically often ...

The Bayesian framework is powerful and allows for an incredible amount of flexibility and control over your analysis. That being said, newcomers often struggle with a lot of new concepts and tools and could benefit from some familiar grounding. And the p-value is a very familiar index (although paradoxically often ...

Happy birthday easystats! About a year ago, I (Dom) sadly realised that the R package I was maintaining (psycho) was drifting more and more away from its original scope, getting drown under a pile of unrelated and under-documented features that I ...

Happy birthday easystats! About a year ago, I (Dom) sadly realised that the R package I was maintaining (psycho) was drifting more and more away from its original scope, getting drown under a pile of unrelated and under-documented features that I ...

New Features of the parameters and see Package We’re excited to announce some news from the easystats-project. Two packages were updated recently, the parameters-package and our visualization-toolbox, the see-package. Before we start introducing some of the new features, we’d like to explain why you need the see-package to ...