General Resampling Infrastructure
Reverse the analysis and assessment sets
Rolling Origin Forecast Resampling
Compatibility with dplyr
rsample: General Resampling Infrastructure
Convert Resampling Objects to Other Formats
Extending rsample with new rset subclasses
Time-based Resampling
Tidy Resampling Object
Create a Validation Split for Tuning
Create a Validation Set
V-Fold Cross-Validation
Augment a data set with resampling identifiers
Sampling for the Apparent Error Rate
Convert an rsplit
object to a data frame
Bootstrap Sampling
Cluster Cross-Validation
Determine the Assessment Samples
Extract Predictor Names from Formula or Terms
Obtain a identifier for the resamples
Retrieve individual rsplits objects from an rset
Group Bootstraps
Group Monte Carlo Cross-Validation
Group V-Fold Cross-Validation
Simple Training/Test Set Splitting
Create an Initial Train/Validation/Test Split
Bootstrap confidence intervals
Find Labels from rset Object
Find Labels from rsplit Object
Leave-One-Out Cross-Validation
Make groupings for grouped rsplits
Constructors for split objects
Create or Modify Stratification Variables
Manual resampling
Monte Carlo Cross-Validation
Nested or Double Resampling
Constructor for new rset objects
Permutation sampling
Add Assessment Indices
Objects exported from other packages
A convenience function for confidence intervals with linear-ish parame...
"Reshuffle" an rset to re-generate a new rset with the same parameters
Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
Useful links