Estimation of Model-Based Predictions, Contrasts and Means
Describe the smooth term (for GAMs) or non-linear predictors
Copied from rootSolve package
Estimate Marginal Contrasts
Model-based predictions
Group-specific parameters of mixed models random effects
Estimate Marginal Means (Model-based average at each factor level)
Estimate Marginal Effects
Consistent API for 'emmeans' and 'marginaleffects'
Global options from the modelbased package
modelbased: Estimation of Model-Based Predictions, Contrasts and Means
Pool contrasts and comparisons from estimate_contrasts()
Pool Predictions and Estimated Marginal Means
Printing modelbased-objects
Objects exported from other packages
Smoothing a vector or a time series
Automated plotting for 'modelbased' objects
Find zero-crossings and inversion points
Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.