README.Rmd

---
title: "README"
author: "Piyal Karunarathne"
date: "Last updated: `r format(Sys.time(), '%d %B, %Y')`"
output: md_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

<!-- badges: start -->
[![CRAN Downloads](https://cranlogs.r-pkg.org/badges/BioRssay)](https://cran.r-project.org/package=BioRssay)
[![R-CMD-check](https://github.com/milesilab/BioRssay/workflows/R-CMD-check/badge.svg)](https://github.com/milesilab/BioRssay/actions)
[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://www.tidyverse.org/lifecycle/#stable)
[![DOI](https://zenodo.org/badge/377436359.svg)](https://zenodo.org/badge/latestdoi/377436359)
<!-- badges: end -->

**BioRssay** will help you to analyze mortality data from bioassays of any kind (e.g.,insecti/pesti/herbi-cides, antibiotics, etc.).

```{r,echo=FALSE}
library(BioRssay)
data(bioassay)
transd<-probit.trans(bioassay$assay2)
data<-transd$tr.data
strains<-levels(data$strain)
mort.plot(data,strains)
```

***For a comprehensive tutorial on the package, go to <https://milesilab.github.io/BioRssay/> and navigate to "Get started" where all the functions and usage are explained with ample examples.***

**Installation**

- CRAN link <https://cran.r-project.org/package=BioRssay>
```{r, results='hide',eval=FALSE}
install.packages("BioRssay")
```
- You can install the development version of rCNV from
    [GitHub](https://github.com/) with:
```{r,results = "hide",eval=FALSE}
if (!requireNamespace("devtools", quietly = TRUE)) 
    install.packages("devtools") 
devtools::install_github("milesilab/BioRssay", build_vignettes = TRUE)

```

Please don't forget to cite us if you use the package.

**How to cite**

Karunarathne, P., Pocquet, N., Labbé, P. et al. BioRssay: an R package for analyses of bioassays and probit graphs. Parasites Vectors 15, 35 (2022). https://doi.org/10.1186/s13071-021-05146-x