Analyze Bioassays and Probit Graphs

A robust framework for analyzing mortality data from bioassays for one or several strains/lines/populations.


CRANDownloads R-CMD-check Lifecycle:stable DOI

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

Reference manual

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install.packages("BioRssay")

1.1.0 by Piyal Karunarathne, 4 years ago


https://milesilab.github.io/BioRssay/, https://cran.r-project.org/package=BioRssay


Report a bug at https://github.com/milesilab/BioRssay/issues/


Browse source code at https://github.com/cran/BioRssay


Authors: Piyal Karunarathne [aut, cre] , Pascal Milesi [aut] , Pierrick Labbé [aut]


Documentation:   PDF Manual  


AGPL (>= 3) license


Imports colorspace

Suggests markdown, rmarkdown, knitr, testthat, covr


See at CRAN