as.data.frame.estimate_contrasts
                        Converting modelbased-objects into raw data
                        frames
coffee_data             Sample dataset from a course about analysis of
                        factorial designs
collapse_by_group       Collapse raw data by random effect groups
describe_nonlinear      Describe the smooth term (for GAMs) or
                        non-linear predictors
display.estimate_contrasts
                        Printing modelbased-objects
efc                     Sample dataset from the EFC Survey
estimate_contrasts      Estimate Marginal Contrasts
estimate_expectation    Model-based predictions
estimate_grouplevel     Group-specific parameters of mixed models
                        random effects
estimate_means          Estimate Marginal Means (Model-based average at
                        each factor level)
estimate_slopes         Estimate Marginal Effects
fish                    Sample data set
get_emcontrasts         Consistent API for 'emmeans' and
                        'marginaleffects'
modelbased-options      Global options from the modelbased package
plot.estimate_predicted
                        Automated plotting for 'modelbased' objects
pool_contrasts          Pool contrasts and comparisons from
                        'estimate_contrasts()'
pool_predictions        Pool Predictions and Estimated Marginal Means
puppy_love              More puppy therapy data
residualize_over_grid   Compute partial residuals from a data grid
smoothing               Smoothing a vector or a time series
zero_crossings          Find zero-crossings and inversion points
