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

## Documentation for package ‘generics’ version 0.1.2

- DESCRIPTION file.

## Help Pages

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
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.