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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%"
)
```
# ssddata
<!-- badges: start -->
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[![R-CMD-check](https://github.com/open-AIMS/ssddata/workflows/R-CMD-check/badge.svg)](https://github.com/open-AIMS/ssddata/actions)
[![CRAN status](https://www.r-pkg.org/badges/version/ssddata)](https://CRAN.R-project.org/package=ssddata)
<!-- badges: end -->
`ssddata` is an R package of Species Sensitivity Distribution (SSD) benchmark datasets that can serve as a reference standard for testing and evaluation.
The package includes a range of data sets sourced from the Canadian Council of Ministers of the Environment (ccme), the Australian Institute of Marine Science (aims), the CSIRO (csiro), and the Australian and New Zealand water water quality guideline website (angz), as well as anonymous datasets supplied by the Department of Agriculture Water and Environment and other parties (anon). The source of each dataset are indicated using a pre-fix in the data name (e.g. ccme, aims, etc), with the actual chemical name following (e.g. ccme_boron).
Please see the relevant [reference](https://open-aims.github.io/ssddata/reference/index.html) page more info information on each dataset.
## Installation
You can install the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("remotes")
remotes::install_github("open-AIMS/ssddata")
```