https://github.com/jrnold/mlspearer

Infrastructure for resampling, permuation, and cross-validation in R
https://github.com/jrnold/mlspearer

Last synced: 29 days ago
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Infrastructure for resampling, permuation, and cross-validation in R

• Host: GitHub
• URL: https://github.com/jrnold/mlspearer
• Owner: jrnold
• Created: 2018-07-20T10:14:55.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-07-20T10:15:32.000Z (over 6 years ago)
• Last Synced: 2024-08-02T06:03:21.714Z (3 months ago)
• Language: R
• Homepage:
• Size: 292 KB
• Stars: 8
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • Contributing: .github/CONTRIBUTING.md
  • Code of conduct: .github/CODE_OF_CONDUCT.md
  • Support: .github/SUPPORT.md

Awesome Lists containing this project

README

        
---

output:

  md_document:

    variant: markdown_github

---

```{r, echo = FALSE}

knitr::opts_chunk$set(collapse = TRUE, comment = "#>")

```

# ramsleep

[![lifecycle](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)

[![Travis-CI Build Status](https://travis-ci.org/jrnold/ramsleep.svg?branch=master)](https://travis-ci.org/jrnold/ramsleep)

[![codecov](https://codecov.io/gh/jrnold/ramsleep/branch/master/graph/badge.svg)](https://codecov.io/gh/jrnold/ramsleep)

[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/jrnold/ramsleep?branch=master&svg=true)](https://ci.appveyor.com/project/jrnold/ramsleep)

The **ramsleep** package provides functions that implement resampling methods including the bootstrap, jackknife, random test/train sets, k-fold cross-validation, leave-one-out and leave-p-out cross-validation, time-series cross validation, time-series k-fold cross validation, permutations, rolling windows.

## Comparison to Other Packages

This is similar in approach to **modelr** functions `bootstrap` and `crossv_kfold`,

and the **rsample** package.  However, both of those packages only work with data frames.

The functions in this package are lower-level.

The functions in this package take single integer representing the number of 

items to sample from, and return lists of integers representing the indexes in each sample.

These indexes can be applied to any type of object, or used to build

higher level functions like those in **modelr** or **rsample**.

## Installation

**ramsleep** is not on CRAN. You can install the 

development version with

``` r

# install.packages("devtools")

devtools::install_github("jrnold/ramsleep")

```

## Code of Conduct

Please note that the 'ramsleep' project is released with a [Contributor Code of Conduct](.github/CODE_OF_CONDUCT.md). By contributing to this project, you 

agree to abide by its terms.