Function reference • generics

All functions

accuracy(): Accuracy measures for a model

augment(): Augment data with information from an object

calculate(): Calculate statistics.

as.factor() as.ordered(): Factor coercion

as.difftime(): 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

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

intersect() union() setdiff() setequal() is.element(): 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

var_imp(): Calculation of variable importance

varying_args(): Find any arguments that are not fully specified.

visualize(): Visualize a data set or object.