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Please edit that file --\u003e\n\n```{r setup, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\"\n)\n\n# set plot colors\npalette(c(\"#0073C2\", \"#EFC000\", \"#868686\", \"#CD534C\"))\n```\n\n# opa \u003ca href=\"https://timbeechey.github.io/opa/\"\u003e\u003c/a\u003e\n\n\u003c!-- badges: start --\u003e\n![](https://www.r-pkg.org/badges/version-ago/opa?color=orange)\n![](https://cranlogs.r-pkg.org/badges/grand-total/opa) \n[![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)\n\u003c!-- badges: end --\u003e\n\nAn R package for ordinal pattern analysis.\n\n## Installation\n\nopa can be installed from CRAN with:\n\n```{r install_opa, eval=FALSE}\ninstall.packages(\"opa\")\n```\n\nYou can install the development version of opa from [GitHub](https://github.com/) with:\n\n```{r install_github, eval=FALSE}\n# install.packages(\"remotes\")\nremotes::install_github(\"timbeechey/opa\")\n```\n\n## Using `opa`\n\nSee 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`.\n\n## Acknowledgements\n\nDevelopment of `opa` was supported by a [Medical Research Foundation](https://www.medicalresearchfoundation.org.uk/) Fellowship (MRF-049-0004-F-BEEC-C0899).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimbeechey%2Fopa","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftimbeechey%2Fopa","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimbeechey%2Fopa/lists"}