`rsample` 0.0.5

Added three functions to compute different bootstrap confidence intervals.
A new function (add_resample_id) augments a data frame with columns for the resampling identifier.
Updated initial_split, mc_cv, vfold_cv, bootstraps, and group_vfold_cv to use tidyselect on the stratification variable.
Updated initial_split, mc_cv, vfold_cv, bootstraps with new breaks parameter that specifies the number of bins to stratify by for a numeric stratification variable.

`rsample` 0.0.4

Small maintenence release.

Added function initial_time_split for ordered initial sampling appropriate for time series data.

fill() has been renamed populate() to avoid a conflict with tidyr::fill().
Changed the R version requirement to be R >= 3.1 instead of 3.3.3.
The recipes-related prepper function was moved to the recipes package. This makes the rsample install footprint much smaller.
rsplit objects are shown differently inside of a tibble.
Moved from the broom package to the generics package.

initial_split, training, and testing were added to do training/testing splits prior to resampling.
Another resampling method, group_vfold_cv, was added.
caret2rsample and rsample2caret can convert rset objects to those used by caret::trainControl and vice-versa.
A function called form_pred can be used to determine the original names of the predictors in a formula or terms object.
A vignette and a function (prepper) were included to facilitate using the recipes with rsample.
A gather method was added for rset objects.
A labels method was added for rsplit objects. This can help identify which resample is being used even when the whole rset object is not available.
A variety of dplyr methods were added (e.g. filter, mutate, etc) that work without dropping classes or attributes of the rsample objects.

Initial public version on CRAN