Package: ggeffects 1.7.1.1

Daniel Lüdecke

ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

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'.

Authors:Daniel Lüdecke [aut, cre], Frederik Aust [ctb], Sam Crawley [ctb], Mattan S. Ben-Shachar [ctb], Sean C. Anderson [ctb]

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Bug tracker:https://github.com/strengejacke/ggeffects/issues

On CRAN:

estimated-marginal-meanshacktoberfestmarginal-effectsprediction

30 exports 543 stars 8.31 score 1 dependencies 6 dependents 41 mentions 2.5k scripts 20.9k downloads

Last updated 6 days agofrom:6045cfb93b. Checks:OK: 5 NOTE: 2. Indexed: yes.

Exports:collapse_by_groupdata_gridget_complete_dfget_legend_labelsget_legend_titleget_titleget_x_labelsget_x_titleget_y_titleggaverageggeffectggemmeansggpredicthypothesis_testinstall_latestjohnson_neymannew_datapool_comparisonspool_predictionspredict_responsepretty_rangeprint_htmlprint_mdrepresentative_valuesresidualize_over_gridshow_palsspotlight_analysistest_predictionstheme_ggeffectsvalues_at

Dependencies:insight