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Marginal Effects for (mixed effects) regression models #rstats
ggeffects (CRAN, website) is a package that computes marginal effects at the mean (MEMs) or representative values (MERs) for many different models, including mixed effects or Bayesian models. One of...
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ggeffects 0.8.0 now on CRAN: marginal effects for regression models #rstats
I’m happy to announce that version 0.8.0 of my ggeffects-package is on CRAN now. The update has fixed some bugs from the previous version and comes along with many new features or improvements. One...
View ArticleR and labelled data: Using quasiquotation to add variable and value labels...
Labelling data is typically a task for end-users and is applied in own scripts or functions rather than in packages. However, sometimes it can be useful for both end-users and package developers to...
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Quickly create Codeplans of your (labelled) Data #rstats
The view_df() function from the sjPlot-package creates nice „codeplans“ from your data sets, and also supports labelled data and tagged NA-values. This gives you a comprehensive, yet clear overview of...
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Likert-plots and grouped Likert-plots #rstats
I’m pleased to anounce an update of my sjPlot-package, a package for Data Visualization for Statistics in Social Science. Thanks to the help of Alexander, it is now possible to create grouped...
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