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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
<!-- badges: start -->
[![R-CMD-check](https://github.com/SchlossLab/clustur/actions/workflows/check-full.yml/badge.svg)](https://github.com/SchlossLab/clustur/actions/workflows/check-full.yml)
[![test-coverage](https://github.com/SchlossLab/clustur/actions/workflows/test-coverage.yml/badge.svg)](https://github.com/SchlossLab/clustur/actions/workflows/test-coverage.yml)
[![lint](https://github.com/SchlossLab/clustur/actions/workflows/lintr.yml/badge.svg)](https://github.com/SchlossLab/clustur/actions/workflows/lintr.yml)
[![pkgdown](https://github.com/SchlossLab/clustur/actions/workflows/pkgdown.yaml/badge.svg)](https://github.com/SchlossLab/clustur/actions/workflows/pkgdown.yaml)
<!-- badges: end -->
## Overview
clustur was developed for two main reasons: to allow developers to easily create
pipelines with mothur code in R, and to give users a powerful clustering
algorithm from mothur without having to download it. Because clustur is built
using rcpp, it benefits from the speed of C++ and the usability of R.
Additionally, since clustur will be open source, developers can modify are
package as needed. This will not only help us continue to create high quality
packages, but will allow everyone to take advantage of the foundation that is
already built.
## Installation
For the official release from CRAN you can use the standard `install.packages()`
function:
```r
# install via cran
install.packages("clustur")
library(clustur)
```
For the developmental version, you can use the `install_github()` function from
the {devtools} package
```r
# install via github
devtools::install_github("SchlossLab/clustur")
library(clustur)
```
## Getting Started
To get started, look at the ["Getting started"](https://www.schlosslab.org/clustur/) page.
## Contributions
For feature request please visit the issue page in GitHub and use the feature
tag. If you would like to contribute pull request are welcomed!