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 |
fit()
|
Estimate model parameters. |
fit_xy()
|
Estimate model parameters. |
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 |
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 |
var_imp()
|
Calculation of variable importance |
varying_args()
|
Find any arguments that are not fully specified. |
visualize()
|
Visualize a data set or object. |