The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

BioRssay: Analyze Bioassays and Probit Graphs

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

Version: 1.1.0
Depends: R (≥ 3.5)
Imports: colorspace
Suggests: markdown, rmarkdown, knitr, testthat (≥ 2.0.0), covr
Published: 2022-08-09
Author: Piyal Karunarathne ORCID iD [aut, cre], Pascal Milesi ORCID iD [aut], Pierrick Labbé ORCID iD [aut]
Maintainer: Piyal Karunarathne <piyalkarumail at yahoo.com>
BugReports: https://github.com/milesilab/BioRssay/issues/
License: AGPL (≥ 3)
URL: https://milesilab.github.io/BioRssay/, https://cran.r-project.org/package=BioRssay
NeedsCompilation: no
Citation: BioRssay citation info
Materials: README NEWS
CRAN checks: BioRssay results

Documentation:

Reference manual: BioRssay.pdf
Vignettes: BioRssay

Downloads:

Package source: BioRssay_1.1.0.tar.gz
Windows binaries: r-devel: BioRssay_1.1.0.zip, r-release: BioRssay_1.1.0.zip, r-oldrel: BioRssay_1.1.0.zip
macOS binaries: r-release (arm64): BioRssay_1.1.0.tgz, r-oldrel (arm64): BioRssay_1.1.0.tgz, r-release (x86_64): BioRssay_1.1.0.tgz, r-oldrel (x86_64): BioRssay_1.1.0.tgz
Old sources: BioRssay archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BioRssay to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.