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 |