Publications by R on easystats
Formatted correlation output with effect sizes
One of the most time-consuming part of data analysis in science is the copy-pasting of specific values of some R output to a manuscript or a report. This task is frustrating, prone to errors, and increases the variability of statistical reporting. At the sime time, standardizing practices of what and how to report is crucial for reproducibility a...
1794 sym R (478 sym/3 pcs)
A unified syntax for accessing models’ information
The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ internal information (such as ...
2297 sym R (535 sym/7 pcs)
A unified syntax for accessing models’ information
The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ internal information (such as ...
2308 sym R (472 sym/7 pcs)
A unified syntax for accessing models’ information
The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ internal information (such as ...
2308 sym R (472 sym/7 pcs)
A unified syntax for accessing models’ information
The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ internal information (such as ...
2308 sym R (472 sym/7 pcs)
Describe and understand Bayesian models and posteriors using bayestestR
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 let us introduce ...
2409 sym R (848 sym/3 pcs)
Describe and understand Bayesian models and posteriors using bayestestR
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 let us introduce ...
2409 sym R (848 sym/3 pcs)
Describe and understand Bayesian models and posteriors using bayestestR
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 let us introduce ...
2418 sym R (751 sym/3 pcs) 4 img
Describe and understand Bayesian models and posteriors using bayestestR
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 let us introduce ...
2418 sym R (751 sym/3 pcs) 4 img
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