Common S3 Generics not Provided by Base R Methods Related to Model Fitting

Documentation for package ‘generics’ version 0.1.4

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accuracy	Accuracy measures for a model
as.difftime	Time difference coercion
as.difftime.default	Time difference coercion
as.factor	Factor coercion
as.ordered	Factor coercion
augment	Augment data with information from an object
calculate	Calculate statistics.
coercion-factor	Factor coercion
coercion-time-difference	Time difference coercion
compile	Configure an object
components	Extract components
equation	Model equations
estfun	Extracting the estimating functions of a fitted model.
evaluate	Evaluate an object.
explain	Explain details of an object
explore	Create an interactive visualization appropriate to a particular object type
fit	Estimate model parameters.
fit_xy	Estimate model parameters.
forecast	Forecasting from an object
generate	Generate values based on inputs
glance	Glance at an object
hypothesize	Construct hypotheses.
interpolate	Interpolate missing values
intersect	Set operations
is.element	Set operations
learn	Estimate model parameters.
min_grid	Determine the minimum set of model fits
prune	Prune or reduce an object
rank_results	Compute relative rankings of a collection of objects
refit	Refitting models
required_pkgs	Determine packages required by objects
setdiff	Set operations
setequal	Set operations
setops	Set operations
specify	Specify variables or other quantities.
tidy	Turn an object into a tidy tibble
train	Estimate model parameters.
tunable	Declare tunable parameters
tune_args	Determine arguments tagged for tuning
union	Set operations
varying_args	Find any arguments that are not fully specified.
var_imp	Calculation of variable importance
visualize	Visualize a data set or object.