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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'.

copied from cf-staging / r-ggeffects
Type Size Name Uploaded Downloads Labels
conda 1.2 MB | noarch/r-ggeffects-0.14.3-r36h6115d3f_1.tar.bz2  4 years and 9 months ago 2948 main
conda 1.2 MB | noarch/r-ggeffects-0.14.3-r40h6115d3f_1.tar.bz2  4 years and 9 months ago 2964 main
conda 1.2 MB | noarch/r-ggeffects-0.14.3-r36h6115d3f_0.tar.bz2  4 years and 10 months ago 2961 main
conda 1.2 MB | noarch/r-ggeffects-0.14.3-r35h6115d3f_0.tar.bz2  4 years and 10 months ago 2988 main

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