Common S3 Generics not Provided by Base R Methods Related to Model Fitting
Accuracy measures for a model
Augment data with information from an object
Calculate statistics.
Factor coercion
Time difference coercion
Configure an object
Extract components
Model equations
Extracting the estimating functions of a fitted model.
Evaluate an object.
Explain details of an object
Create an interactive visualization appropriate to a particular object...
Estimate model parameters.
Estimate model parameters.
Forecasting from an object
Generate values based on inputs
generics: common S3 generics
Glance at an object
Construct hypotheses.
Interpolate missing values
Estimate model parameters.
Determine the minimum set of model fits
Prune or reduce an object
Compute relative rankings of a collection of objects
Refitting models
Determine packages required by objects
Set operations
Specify variables or other quantities.
Turn an object into a tidy tibble
Estimate model parameters.
Declare tunable parameters
Determine arguments tagged for tuning
Calculation of variable importance
Find any arguments that are not fully specified.
Visualize a data set or object.
In order to reduce potential package dependencies and conflicts, generics provides a number of commonly used S3 generics.
Useful links