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General Resampling Infrastructure
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Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
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General Resampling Infrastructure • rsample Skip to content rsample 1.2.1 Get started Reference Articles Bootstrap confidence intervals Recipes with rsample Common Resampling Patterns Working with resampling sets Learn more Spatial resampling Nested resampling Time series analysis Changelog rsample Overview The rsample package provides functions to create different types of resamples and corresponding classes for their analysis. The goal is to have a modular set of methods that can be used for: resampling for estimating the sampling distribution of a statistic estimating model performance using a holdout set The scope of rsample is to provide the basic building blocks for creating and analyzing resamples of a data set, but this package does not include code for modeling or calculating statistics. The Working with Resample Sets vignette gives a demonstration of how rsample tools can be used when building models. Note that resampled data set...
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