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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 setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-"
)
# set plot colors
palette(c("#0073C2", "#EFC000", "#868686", "#CD534C"))
```
# opa <a href="https://timbeechey.github.io/opa/"></a>
<!-- badges: start -->
![](https://www.r-pkg.org/badges/version-ago/opa?color=orange)
![](https://cranlogs.r-pkg.org/badges/grand-total/opa)
[![R-CMD-check](https://github.com/timbeechey/opa/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/timbeechey/opa/actions/workflows/R-CMD-check.yaml)
[![codecov](https://codecov.io/gh/timbeechey/opa/graph/badge.svg?token=Q3ZI7BBMIK)](https://codecov.io/gh/timbeechey/opa)
<!-- badges: end -->
An R package for ordinal pattern analysis.
## Installation
opa can be installed from CRAN with:
```{r install_opa, eval=FALSE}
install.packages("opa")
```
You can install the development version of opa from [GitHub](https://github.com/) with:
```{r install_github, eval=FALSE}
# install.packages("remotes")
remotes::install_github("timbeechey/opa")
```
## Using `opa`
See the [introductory guide](https://timbeechey.github.io/opa/articles/opa.html) for a brief demonstration of how to conduct an ordinal pattern analysis using `opa`.
## Acknowledgements
Development of `opa` was supported by a [Medical Research Foundation](https://www.medicalresearchfoundation.org.uk/) Fellowship (MRF-049-0004-F-BEEC-C0899).