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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 562.1 kB | noarch/r-ggeffects-1.1.3-r41hc72bb7e_1.tar.bz2  2 years and 4 months ago 1444 main
conda 561.7 kB | noarch/r-ggeffects-1.1.3-r42hc72bb7e_1.tar.bz2  2 years and 4 months ago 1427 main
conda 561.3 kB | noarch/r-ggeffects-1.1.3-r40hc72bb7e_0.tar.bz2  2 years and 6 months ago 1674 main
conda 561.9 kB | noarch/r-ggeffects-1.1.3-r41hc72bb7e_0.tar.bz2  2 years and 6 months ago 1683 main

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