Publications by R on easystats
How to easily generate a perfectly normal distribution
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 classic rnorm (same arguments), with...
1406 sym R (542 sym/2 pcs) 4 img
Compute R2s and other performance indices for all your models!
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 We have re...
2699 sym R (1073 sym/4 pcs) 2 img
Compute R2s and other performance indices for all your models!
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 We have re...
2699 sym R (1403 sym/4 pcs) 2 img
A perfectly normally distributed sample: another post?
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 this case the normal distribution. It worked like this: # Generate a perfect sample x <- rnorm_per...
2508 sym R (376 sym/2 pcs) 4 img
A perfectly normally distributed sample: another post?
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 this case the normal distribution. It worked like this: # Generate a perfect sample x <- rnorm_per...
2508 sym R (376 sym/2 pcs) 4 img
The ‘see’ package: beautiful figures for easystats
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 introduce the latest ...
1478 sym R (557 sym/3 pcs)
The ‘see’ package: beautiful figures for easystats
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 introduce the latest ...
1478 sym R (557 sym/3 pcs)
The ‘see’ package: beautiful figures for easystats
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 introduce the latest ...
1481 sym R (557 sym/3 pcs) 8 img
The ‘see’ package: beautiful figures for easystats
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 introduce the latest ...
1487 sym R (554 sym/3 pcs) 8 img
The ‘see’ package: beautiful figures for easystats
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 introduce the latest ...
1487 sym R (554 sym/3 pcs) 8 img