Estimation of Model-Based Predictions, Contrasts and Means
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Documentation for package ‘modelbased’ version 0.8.8
Help Pages
| 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 |