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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 854.7 kB | noarch/r-ggeffects-1.7.0-r43hc72bb7e_1.conda  7 months and 25 days ago 1077 main
conda 859.2 kB | noarch/r-ggeffects-1.7.0-r44hc72bb7e_1.conda  7 months and 25 days ago 694 main
conda 855.0 kB | noarch/r-ggeffects-1.7.0-r42hc72bb7e_0.conda  8 months and 12 days ago 1056 main
conda 854.2 kB | noarch/r-ggeffects-1.7.0-r43hc72bb7e_0.conda  8 months and 12 days ago 813 main

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