General Resampling Infrastructure
Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
Augment a data set with resampling identifiers
Sampling for the Apparent Error Rate
Convert an rsplit object to a data frame
Job Attrition
Bootstrap Sampling
Determine the Assessment Samples
Sample Time Series Data
Extract Predictor Names from Formula or Terms
Gather an rset Object
Obtain a identifier for the resamples
Group V-Fold Cross-Validation
Simple Training/Test Set Splitting
Bootstrap confidence intervals
Find Labels from rset Object
Find Labels from rsplit Object
Leave-One-Out Cross-Validation
Constructor 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
Short Descriptions of rsets
Objects exported from other packages
A convenience function for confidence intervals with linear-ish parametric models
Rolling Origin Forecast Resampling
rsample: General Resampling Infrastructure for R
Compatibility with dplyr
Convert Resampling Objects to Other Formats
Extending rsample with new rset subclasses
Time-based Resampling
Tidy Resampling Object
Two Class Data
Create a Validation Set
V-Fold Cross-Validation
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