Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects 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'.

Click on a badge to see how to embed it in your web page
badge
https://anaconda.org/conda-forge/r-ggeffects/badges/version.svg
badge
https://anaconda.org/conda-forge/r-ggeffects/badges/latest_release_date.svg
badge
https://anaconda.org/conda-forge/r-ggeffects/badges/latest_release_relative_date.svg
badge
https://anaconda.org/conda-forge/r-ggeffects/badges/platforms.svg
badge
https://anaconda.org/conda-forge/r-ggeffects/badges/license.svg
badge
https://anaconda.org/conda-forge/r-ggeffects/badges/downloads.svg
badge
https://anaconda.org/conda-forge/r-ggeffects/badges/installer/conda.svg
PRIVACY POLICY  |  EULA (Anaconda Cloud v2.33.29) © 2019 Anaconda, Inc. All Rights Reserved.