rsample 0.1.1

Updated documentation on stratified sampling (#245).
Changed make_splits() to an S3 generic, with the original functionality a method for list and a new method for dataframes that allows users to create a split from existing analysis & assessment sets (@LiamBlake, #246).
Added validation_time_split() for a single validation sample taking the first samples for training (@mine-cetinkaya-rundel, #256).
Escalated the deprecation of the gather() method for rset objects to a hard deprecation. Use tidyr::pivot_longer() instead (#257).
Changed resample “fingerprint” to hash the indices only rather than the entire resample result (including the data object). This is much faster and will still ensure the same resample for the same original data object (#259).

rsample 0.1.0

Fixed how mc_cv(), initial_split(), and validation_split() use the prop argument to first compute the assessment indices, rather than the analysis indices. This is a minor but breaking change in some situations; the previous implementation could cause an inconsistency in the sizes of the generated analysis and assessment sets when compared to how prop is documented to function (#217, @issactoast).
Fixed problem with creation of apparent() (#223) and caret2rsample() (#232) resamples.
Re-licensed package from GPL-2 to MIT. See consent from copyright holders here.
Attempts to stratify on a Surv object now error more informatively (#230).
Exposed pool argument from make_strata() in user-facing resampling functions (#229).
Deprecated the gather() method for rset objects in favor of tidyr::pivot_longer() (#233).
Fixed bug in make_strata() for numeric variables with NA values (@brian-j-smith, #236).

New rset_reconstruct(), a developer tool to ease creation of new rset subclasses (#210).
Added permutations(), a function for creating permutation resamples by performing column-wise shuffling (@mattwarkentin, #198).
Fixed an issue where empty assessment sets couldn’t be created by make_splits() (#188).
rset objects now contain a “fingerprint” attribute that can be used to check to see if the same object uses the same resamples.
The reg_intervals() function is a convenience function for lm(), glm(), survreg(), and coxph() models (#206).
A few internal functions were exported so that rsample-adjacent packages can use the same underlying code.
The obj_sum() method for rsplit objects was updated (#215).
Changed the inheritance structure for rsplit objects from specific to general and simplified the methods for the complement() generic (#216).

New manual_rset() for constructing rset objects manually from custom rsplits (tidymodels/tune#273).
Three new time based resampling functions have been added: sliding_window(), sliding_index(), and sliding_period(), which have more flexibility than the pre-existing rolling_origin().
Correct alpha parameter handling for bootstrap CI functions (#179, #184).

Lower threshold for pooling strata to 10% (from 15%) (#149).
The print() methods for rsplit and val_split objects were adjusted to show "<Analysis/Assess/Total>" and <Training/Validation/Total>, respectively.
The drinks, attrition, and two_class_dat data sets were removed. They are in the modeldata package.
Compatability with dplyr 1.0.0.

Added validation_set() for making a single resample.
Correct the tidy method for bootstraps (#115).
Changes for upcoming `tibble release.
Exported constructors for rset and split objects (#40)
initial_time_split() and rolling_origin() now have a lag parameter that ensures that previous data are available so that lagged variables can be calculated. (#135, #136)

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.

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