# Estimation of Model-Based Predictions, Contrasts and Means

## Documentation for package ‘modelbased’ version 0.8.9

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## 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