Reference

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.