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generics

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

In order to reduce potential package dependencies and conflicts, generics provides a number of commonly used S3 generics.

Functions (30)

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

fit

Estimate model parameters.

fit_xy

Estimate model parameters.

generate

Generate values based on inputs

generics-package

generics: common S3 generics

glance

Glance at an object

hypothesize

Construct hypotheses.

interpolate

Interpolate missing values

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

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

var_imp

Calculation of variable importance

varying_args

Find any arguments that are not fully specified.

visualize

Visualize a data set or object.

generics

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

v0.1.0

MIT + file LICENSE

Authors

Hadley Wickham [aut, cre], Max Kuhn [aut], Davis Vaughan [aut], RStudio [cph]

Initial release

generics

Functions (30)

generics

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