| coffee_data | Sample dataset from a course about analysis of factorial designs | 
| describe_nonlinear | Describe the smooth term (for GAMs) or non-linear predictors | 
| describe_nonlinear.data.frame | Describe the smooth term (for GAMs) or non-linear predictors | 
| efc | Sample dataset from the EFC Survey | 
| estimate_contrasts | Estimate Marginal Contrasts | 
| estimate_contrasts.default | Estimate Marginal Contrasts | 
| estimate_expectation | Model-based predictions | 
| estimate_grouplevel | Group-specific parameters of mixed models random effects | 
| estimate_grouplevel.brmsfit | Group-specific parameters of mixed models random effects | 
| estimate_grouplevel.default | Group-specific parameters of mixed models random effects | 
| estimate_link | Model-based predictions | 
| estimate_means | Estimate Marginal Means (Model-based average at each factor level) | 
| estimate_prediction | Model-based predictions | 
| estimate_relation | Model-based predictions | 
| estimate_slopes | Estimate Marginal Effects | 
| estimate_smooth | Describe the smooth term (for GAMs) or non-linear predictors | 
| find_inversions | Find zero-crossings and inversion points | 
| fish | Sample data set | 
| get_emcontrasts | Consistent API for 'emmeans' and 'marginaleffects' | 
| get_emmeans | Consistent API for 'emmeans' and 'marginaleffects' | 
| get_emtrends | Consistent API for 'emmeans' and 'marginaleffects' | 
| get_marginalcontrasts | Consistent API for 'emmeans' and 'marginaleffects' | 
| get_marginalmeans | Consistent API for 'emmeans' and 'marginaleffects' | 
| get_marginaltrends | Consistent API for 'emmeans' and 'marginaleffects' | 
| modelbased-options | Global options from the modelbased package | 
| plot.estimate_means | Automated plotting for 'modelbased' objects | 
| 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 | 
| pool_slopes | Pool Predictions and Estimated Marginal Means | 
| print.estimate_contrasts | Printing modelbased-objects | 
| puppy_love | More puppy therapy data | 
| reshape_grouplevel | Group-specific parameters of mixed models random effects | 
| reshape_grouplevel.estimate_grouplevel | Group-specific parameters of mixed models random effects | 
| smoothing | Smoothing a vector or a time series | 
| visualisation_recipe.estimate_grouplevel | Automated plotting for 'modelbased' objects | 
| visualisation_recipe.estimate_predicted | Automated plotting for 'modelbased' objects | 
| visualisation_recipe.estimate_slopes | Automated plotting for 'modelbased' objects | 
| zero_crossings | Find zero-crossings and inversion points |