Publications by R on easystats

Become a Bayesian master with bayestestR (0.2)

02.06.2019

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 updated on CRAN. And this release is so packed with new features and improvements that it would be impo...

1995 sym

Become a Bayesian master with bayestestR (0.2)

02.06.2019

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 updated on CRAN. And this release is so packed with new features and improvements that it would be impo...

2003 sym 2 img

Become a Bayesian master with bayestestR (0.2)

02.06.2019

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 updated on CRAN. And this release is so packed with new features and improvements that it would be impo...

2003 sym 2 img

Testing Contrasts from Bayesian Models with ’emmeans’ and ‘bayestestR’

05.06.2019

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 significant. Say even that it was as non-significant as can be, with p = 1.00...

3785 sym R (3280 sym/5 pcs)

Testing Contrasts from Bayesian Models with ’emmeans’ and ‘bayestestR’

05.06.2019

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 significant. Say even that it was as non-significant as can be, with *p* = 1....

3793 sym R (3280 sym/5 pcs) 2 img

Testing Contrasts from Bayesian Models with ’emmeans’ and ‘bayestestR’

05.06.2019

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 significant. Say even that it was as non-significant as can be, with p = 1.00...

3605 sym R (3097 sym/5 pcs) 2 img 1 tbl

Testing Contrasts from Bayesian Models with ’emmeans’ and ‘bayestestR’

05.06.2019

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 significant. Say even that it was as non-significant as can be, with p = 1.00...

3605 sym R (3026 sym/5 pcs) 2 img 1 tbl

Check your (Mixed) Model for Multicollinearity with ‘performance’

05.08.2019

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(), check_overdipsersion() or check_zero-inflation() (see a complete list of functions here). In this postin...

3358 sym R (1444 sym/5 pcs) 6 img

Check your (Mixed) Model for Multicollinearity with ‘performance’

05.08.2019

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(), check_overdipsersion() or check_zero-inflation() (see a complete list of functions here). In this postin...

3358 sym R (1444 sym/5 pcs) 6 img

parameters: a powerful and lightweight alternative to broom to describe your models’ coefficients

09.09.2019

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, d...

2509 sym R (1690 sym/4 pcs)