biogrowth: Modelling of Population Growth

Modelling of population growth under static and dynamic environmental conditions. Includes functions for model fitting and making prediction under isothermal and dynamic conditions. The methods (algorithms & models) are based on predictive microbiology (See Perez-Rodriguez and Valero (2012, ISBN:978-1-4614-5519-6)).

Version: 1.0.5
Depends: R (≥ 2.10)
Imports: deSolve (≥ 1.28), tibble (≥ 3.0.3), dplyr (≥ 0.8.5), FME (≥ 1.3.6), MASS (≥ 7.3), rlang (≥ 0.4.7), purrr (≥ 0.3.4), ggplot2 (≥ 3.3.2), cowplot (≥ 1.0.0), lamW (≥ 1.3.0), tidyr (≥ 1.0.2), formula.tools (≥ 1.7.1), lifecycle
Suggests: knitr, rmarkdown, tidyverse (≥ 1.3.0)
Published: 2024-11-08
DOI: 10.32614/CRAN.package.biogrowth
Author: Alberto Garre ORCID iD [aut, cre], Jeroen Koomen [aut], Heidy den Besten [aut], Marcel Zwietering [aut]
Maintainer: Alberto Garre <garre.alberto at gmail.com>
License: GPL-3
NeedsCompilation: no
Citation: biogrowth citation info
Materials: NEWS
In views: Environmetrics
CRAN checks: biogrowth results

Documentation:

Reference manual: biogrowth.pdf
Vignettes: Growth predictions in biogrowth (source, R code)
Fitting growth models in biogrowth (source, R code)
Including uncertainty in growth predictions in biogrowth (source, R code)
Comparing growth models (source, R code)
Custom distributions for uncertainty propagation (source, R code)
Modelling approach (source, R code)
Description of datasets (source, R code)
About the units of the growth rate (mu) (source, R code)
Advanced plotting options in biogrowth (source, R code)
Modelling constant environmental conditions using secondary models (source, R code)
Deprecated and superseded functions (source, R code)

Downloads:

Package source: biogrowth_1.0.5.tar.gz
Windows binaries: r-devel: biogrowth_1.0.5.zip, r-release: biogrowth_1.0.5.zip, r-oldrel: biogrowth_1.0.5.zip
macOS binaries: r-release (arm64): biogrowth_1.0.5.tgz, r-oldrel (arm64): biogrowth_1.0.5.tgz, r-release (x86_64): biogrowth_1.0.5.tgz, r-oldrel (x86_64): biogrowth_1.0.5.tgz
Old sources: biogrowth archive

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