Publications by R on easystats
parameters: a powerful and lightweight alternative to broom to describe your models’ coefficients
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 project encompasses several packages, ...
2525 sym R (1704 sym/4 pcs) 4 img
parameters: a powerful and lightweight alternative to broom to describe your models’ coefficients
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 project encompasses several packages, ...
2525 sym R (1780 sym/4 pcs) 4 img
More models, more features: what’s new in ‘parameters’ 0.2.0
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 models. It is useful for end-users as well as developers, as it is a lightweight and open-developed ...
2391 sym R (988 sym/1 pcs) 2 img
More models, more features: what’s new in ‘parameters’ 0.2.0
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 models. It is useful for end-users as well as developers, as it is a lightweight and open-developed ...
2393 sym R (1133 sym/1 pcs) 2 img
More models, more features: what’s new in ‘parameters’ 0.2.0
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 models. It is useful for end-users as well as developers, as it is a lightweight and open-developed ...
2393 sym R (1047 sym/1 pcs) 2 img
News from easystats: updated parameters and see packages.
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 create plots for fu...
3602 sym R (4980 sym/8 pcs) 12 img
News from easystats: updated parameters and see packages.
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 create plots for fu...
3602 sym R (4980 sym/8 pcs) 12 img
Comparison of indices of significance in the Bayesian framework
The bayestestR package has several functions to compute indices of effect existence and significance in a Bayesian framework, like p_direction() or bayesfactor_parameters(). The accuracy of these indices is affected by various sources of uncertainty, such as sample size or noise. Using the package, we have created a small animation that demontrat...
1479 sym 4 img
Comparison of indices of significance in the Bayesian framework
The bayestestR package has several functions to compute indices of effect existence and significance in a Bayesian framework, like p_direction() or bayesfactor_parameters(). The accuracy of these indices is affected by various sources of uncertainty, such as sample size or noise. Using the package, we have created a small animation that demontrat...
1479 sym 4 img
Comparison of indices of significance in the Bayesian framework
The bayestestR package has several functions to compute indices of effect existence and significance in a Bayesian framework, like p_direction() or bayesfactor_parameters(). The accuracy of these indices is affected by various sources of uncertainty, such as sample size or noise. Using the package, we have created a small animation that demontrat...
1479 sym 4 img