https://github.com/timbeechey/opa
Ordinal pattern analysis R package
https://github.com/timbeechey/opa
cran data-analysis hypothesis-testing longitudinal ordinal r r-package rcpp repeated-measures rstats statistics
Last synced: 4 months ago
JSON representation
Ordinal pattern analysis R package
- Host: GitHub
- URL: https://github.com/timbeechey/opa
- Owner: timbeechey
- License: gpl-3.0
- Created: 2022-02-19T15:26:44.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2025-06-28T05:48:42.000Z (12 months ago)
- Last Synced: 2025-10-22T05:16:22.037Z (8 months ago)
- Topics: cran, data-analysis, hypothesis-testing, longitudinal, ordinal, r, r-package, rcpp, repeated-measures, rstats, statistics
- Language: R
- Homepage: https://timbeechey.github.io/opa/
- Size: 13.2 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE.md
Awesome Lists containing this project
README
---
output: github_document
---
```{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"))
```
[](https://github.com/timbeechey/opa/actions/workflows/R-CMD-check.yaml)
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).