Package index • modelr

Resampling
`bootstrap()`	Generate `n` bootstrap replicates.
`crossv_mc()` `crossv_kfold()` `crossv_loo()`	Generate test-training pairs for cross-validation
`permute()` `permute_()`	Generate `n` permutation replicates.
`resample()`	A "lazy" resample.
`resample_bootstrap()`	Generate a boostrap replicate
`resample_partition()`	Generate an exclusive partitioning of a data frame
`resample_permutation()`	Create a resampled permutation of a data frame
Prediction grids
`add_predictions()` `spread_predictions()` `gather_predictions()`	Add predictions to a data frame
`data_grid()`	Generate a data grid.
`typical()`	Find the typical value
`seq_range()`	Generate a sequence over the range of a vector
Residuals and quality metrics
`add_residuals()` `spread_residuals()` `gather_residuals()`	Add residuals to a data frame
`mse()` `rmse()` `mae()` `rsquare()` `qae()` `mape()` `rsae()`	Compute model quality for a given dataset
Formulas
`fit_with()`	Fit a list of formulas
`add_predictors()`	Add predictors to a formula
`formulas()` `formulae()`	Create a list of formulas
Data
`sim1` `sim2` `sim3` `sim4`	Simple simulated datasets
`heights`	Height and income data.
Helpers
`geom_ref_line()`	Add a reference line (ggplot2).
`model_matrix()`	Construct a design matrix
`na.warn()`	Handle missing values with a warning

Reference