Recently, we published a post presenting a small convenience function, from the bayestestR package. This function, named rnorm_perfect, generated an empirical distribution (i.e., a vector of values) as close as possible to a desired distribution, in...

Recently, we published a post presenting a small convenience function, from the bayestestR package. This function, named rnorm_perfect, generated an empirical distribution (i.e., a vector of values) as close as possible to a desired distribution, in...

Indices of model performance (i.e., model quality, goodness of fit, predictive accuracy etc.) are very important, both for model comparison and model description purposes. However, their computation or extraction for a wide variety of models can be complex. To address this, please let us introduce the performance package! performance ...

Indices of model performance (i.e., model quality, goodness of fit, predictive accuracy etc.) are very important, both for model comparison and model description purposes. However, their computation or extraction for a wide variety of models can be complex. To address this, please let us introduce the performance package! performance ...

Many times, for instance when teaching, I needed to quickly and simply generate a perfectly normally distributed sample to illustrate or show some of its characteristics. This is now very easy to do with the new bayestestR package, which includes the rnorm_perfect function. This function is very similar to ...

Many times, for instance when teaching, I needed to quickly and simply generate a perfectly normally distributed sample to illustrate or show some of its characteristics. This is now very easy to do with the new bayestestR package, which includes the rnorm_perfect function. This function is very similar to ...

The Bayesian framework is quickly gaining popularity among scientists, leading to the growing popularity of packages to fit Bayesian models, such as rstanarm or brms. However, extracting summary indices from these models to report them in your manuscript can be quite challenging, especially for new users. To address this, please ...

The Bayesian framework is quickly gaining popularity among scientists, leading to the growing popularity of packages to fit Bayesian models, such as rstanarm or brms. However, extracting summary indices from these models to report them in your manuscript can be quite challenging, especially for new users. To address this, please ...