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 |
rank_results |
Compute relative rankings of a collection of objects |
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. |