gauseR: Lotka-Volterra Models for Gause's 'Struggle for Existence'

A collection of tools and data for analyzing the Gause microcosm experiments, and for fitting Lotka-Volterra models to time series data. Includes methods for fitting single-species logistic growth, and multi-species interaction models, e.g. of competition, predator/prey relationships, or mutualism. See documentation for individual functions for examples. In general, see the lv_optim() function for examples of how to fit parameter values in multi-species systems. Note that the general methods applied here, as well as the form of the differential equations that we use, are described in detail in the Quantitative Ecology textbook by Lehman et al., available at <http://hdl.handle.net/11299/204551>, and in Lina K. Mühlbauer, Maximilienne Schulze, W. Stanley Harpole, and Adam T. Clark. 'gauseR': Simple methods for fitting Lotka-Volterra models describing Gause's 'Struggle for Existence' in the journal Ecology and Evolution.

Version: 1.0
Imports: deSolve, stats, graphics
Suggests: knitr, rmarkdown
Published: 2020-09-22
Author: Adam Clark ORCID iD [aut, cre], Lina Mühlbauer [aut], Maximilienne Schulze [aut]
Maintainer: Adam Clark <adam.tclark at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: gauseR results

Downloads:

Reference manual: gauseR.pdf
Vignettes: Example Analyses in gauseR
Package source: gauseR_1.0.tar.gz
Windows binaries: r-devel: gauseR_1.0.zip, r-release: gauseR_1.0.zip, r-oldrel: gauseR_1.0.zip
macOS binaries: r-release: gauseR_1.0.tgz, r-oldrel: gauseR_1.0.tgz

Linking:

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