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 ...

The easystats project continues to grow, expanding its capabilities and features, and the parameters package 0.2.0 update is now on CRAN. The primary goal of this package is to provide utilities for processing the parameters of various statistical mod...

The easystats project continues to grow, expanding its capabilities and features, and the parameters package 0.2.0 update is now on CRAN. The primary goal of this package is to provide utilities for processing the parameters of various statistical ...

The easystats project continues to grow, expanding its capabilities and features, and the parameters package 0.2.0 update is now on CRAN. The primary goal of this package is to provide utilities for processing the parameters of various statistical ...

Okay, “an alternative to broom” might be a bit of an overstatement (at least for now…) But the parameters package, finally on CRAN, already has some cool features! parameters We have recently decided to collaborate around the easystats project, a set of packages designed to make your life easier. This ...

Okay, “an alternative to broom” might be a bit of an overstatement (at least for now…) But the parameters package, finally on CRAN, already has some cool features! parameters We have recently decided to collaborate around the easystats project, a set of packages designed to make your life easier. This ...

The goal of performance is to provide lightweight tools to assess and check the quality of your model. It includes functions such as r2() for many models (including logistic, mixed and Bayesian models), icc() or helpers to check_convergence(), chec...

The goal of performance is to provide lightweight tools to assess and check the quality of your model. It includes functions such as r2() for many models (including logistic, mixed and Bayesian models), icc() or helpers to check_convergence(), chec...

The Problem with Null Effects Say you fit an ANOVA model, predicting the time it takes to solve a puzzle from its shape (round / square) and whether it was colored or black and white, and you found that one of the estimated effects, in this case the interaction, was not ...

The Problem with Null Effects Say you fit an ANOVA model, predicting the time it takes to solve a puzzle from its shape (round / square) and whether it was colored or black and white, and you found that one of the estimated effects, in this case the interaction, was not ...

The Problem with Null Effects Say you fit an ANOVA model, predicting the time it takes to solve a puzzle from its shape (round / square) and whether it was colored or black and white, and you found that one of the estimated effects, in this case the interaction, was not ...

bayestestR 0.2 is here! As you might have heard from previous posts, we have recently started to collaborate around the new easystats project, a suite of packages designed to make your life easier. One of the packages, bayestestR, has just been up...

bayestestR 0.2 is here! As you might have heard from previous posts, we have recently started to collaborate around the new easystats project, a suite of packages designed to make your life easier. One of the packages, bayestestR, has just been up...

The see package We have recently decided to collaborate around the new easystats project, a set of packages designed to make your life easier. This project encompasses several packages, devoted for instance to model access or Bayesian analysis, indices of model performance or visualisation. Without further ado, please let us ...

The see package We have recently decided to collaborate around the new easystats project, a set of packages designed to make your life easier. This project encompasses several packages, devoted for instance to model access or Bayesian analysis, indices of model performance or visualisation. Without further ado, please let us ...