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statforbiology: Tools for Data Analyses in Biology

Contains several tools for nonlinear regression analyses and general data analysis in biology and agriculture. Contains also datasets for practicing and teaching purposes. Supports the blog: Onofri (2024) "Fixing the bridge between biologists and statisticians" <https://www.statforbiology.com> and the book: Onofri (2024) "Experimental Methods in Agriculture" <https://www.statforbiology.com/_statbookeng/>. The blog is a collection of short articles aimed at improving the efficiency of communication between biologists and statisticians, as pointed out in Kozak (2016) <doi:10.1590/0103-9016-2015-0399>, spreading a better awareness of the potential usefulness, beauty and limitations of biostatistic.

Version: 0.9.9
Depends: R (≥ 3.5), drc
Imports: ggplot2, tidyr, car, nlme, emmeans, methods, MASS, stats, drcte, multcomp, utils, multcompView
Published: 2024-10-21
DOI: 10.32614/CRAN.package.statforbiology
Author: Andrea Onofri [aut, cre]
Maintainer: Andrea Onofri <andrea.onofri at unipg.it>
BugReports: https://github.com/OnofriAndreaPG/statforbiology/issues
License: GPL-3
URL: https://github.com/OnofriAndreaPG/statforbiology
NeedsCompilation: no
Materials: README NEWS
CRAN checks: statforbiology results

Documentation:

Reference manual: statforbiology.pdf

Downloads:

Package source: statforbiology_0.9.9.tar.gz
Windows binaries: r-devel: statforbiology_0.9.9.zip, r-release: statforbiology_0.9.9.zip, r-oldrel: statforbiology_0.9.9.zip
macOS binaries: r-release (arm64): statforbiology_0.9.9.tgz, r-oldrel (arm64): statforbiology_0.9.9.tgz, r-release (x86_64): statforbiology_0.9.9.tgz, r-oldrel (x86_64): statforbiology_0.9.9.tgz

Linking:

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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.
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