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Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Package details |
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Author | Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Sam Crawley [ctb] (<https://orcid.org/0000-0002-7847-0411>), Mattan S. Ben-Shachar [ctb] (<https://orcid.org/0000-0002-4287-4801>), Sean C. Anderson [ctb] (<https://orcid.org/0000-0001-9563-1937>) |
Maintainer | Daniel Lüdecke <d.luedecke@uke.de> |
License | MIT + file LICENSE |
Version | 1.7.1 |
URL | https://strengejacke.github.io/ggeffects/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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