Package index • modelbased

Model-based Estimations

describe_nonlinear() estimate_smooth(): Describe the smooth term (for GAMs) or non-linear predictors

estimate_contrasts(): Estimate Marginal Contrasts

estimate_expectation() estimate_link() estimate_prediction() estimate_relation(): Model-based response estimates and uncertainty

estimate_grouplevel() reshape_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

Data grids and Visualisation

visualisation_matrix(): Create a reference grid

visualisation_recipe(<estimate_grouplevel>) visualisation_recipe(<estimate_means>) visualisation_recipe(<estimate_predicted>) visualisation_recipe(<estimate_slopes>): Visualisation Recipe for 'modelbased' Objects

Miscellaenous

describe_nonlinear() estimate_smooth(): Describe the smooth term (for GAMs) or non-linear predictors

get_emcontrasts() model_emcontrasts() get_emmeans() model_emmeans() get_emtrends() model_emtrends(): Easy 'emmeans' and 'emtrends'

get_marginalcontrasts() model_marginalcontrasts() get_marginaleffects() get_marginalmeans() model_marginalmeans(): Easy 'avg_predictions' and 'avg_slopes'

find_inversions(): Find points of inversion

zero_crossings(): Find zero crossings of a vector

smoothing(): Smoothing a vector or a time series