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

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

install.packages("BioRssay")
  • You can install the development version of rCNV from GitHub with:
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

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Version

Install

install.packages('BioRssay')

Monthly Downloads

227

Version

1.1.0

License

AGPL (>= 3)

Maintainer

Piyal Karunarathne

Last Published

August 9th, 2022

Functions in BioRssay (1.1.0)

bioassay

Example bioassay data set
probit.trans

Probit-transform the data and apply Abbott's correction
mort.plot

Plot dose-mortality response for each strain
model.signif

Test the significance of dose-mortality response differences
resist.ratio

Calculate lethal dosage, resistance ratios, and regression coefficients and tests for linearity