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 |
estimate_contrasts |
Estimate Marginal Contrasts |
estimate_expectation |
Model-based response estimates and uncertainty |
estimate_grouplevel |
Group-specific parameters of mixed models random effects |
estimate_link |
Model-based response estimates and uncertainty |
estimate_means |
Estimate Marginal Means (Model-based average at each factor level) |
estimate_prediction |
Model-based response estimates and uncertainty |
estimate_relation |
Model-based response estimates and uncertainty |
estimate_response |
Model-based response estimates and uncertainty |
estimate_slopes |
Estimate Marginal Effects |
estimate_smooth |
Describe the smooth term (for GAMs) or non-linear predictors |
find_inversions |
Find points of inversion |
get_emcontrasts |
Easy 'emmeans' and 'emtrends' |
get_emmeans |
Easy 'emmeans' and 'emtrends' |
get_emtrends |
Easy 'emmeans' and 'emtrends' |
get_marginaleffects |
Easy marginaleffects |
model_emcontrasts |
Easy 'emmeans' and 'emtrends' |
model_emmeans |
Easy 'emmeans' and 'emtrends' |
model_emtrends |
Easy 'emmeans' and 'emtrends' |
reshape_grouplevel |
Group-specific parameters of mixed models random effects |
smoothing |
Smoothing a vector or a time series |
visualisation_matrix |
Create a reference grid |
visualisation_matrix.data.frame |
Create a reference grid |
visualisation_matrix.factor |
Create a reference grid |
visualisation_matrix.numeric |
Create a reference grid |
visualisation_recipe.estimate_grouplevel |
Visualisation Recipe for 'modelbased' Objects |
visualisation_recipe.estimate_means |
Visualisation Recipe for 'modelbased' Objects |
visualisation_recipe.estimate_predicted |
Visualisation Recipe for 'modelbased' Objects |
visualisation_recipe.estimate_slopes |
Visualisation Recipe for 'modelbased' Objects |
zero_crossings |
Find zero crossings of a vector |