Package: gauseR
Title: Lotka-Volterra Models for Gause's 'Struggle for Existence'
Version: 1.2
Authors@R: c(person("Adam", "Clark", role = c("aut", "cre"),
					email = c("adam.tclark@gmail.com"),
                    comment = c(ORCID = "0000-0002-8843-3278")),
             person("Lina", "Mühlbauer", role = c("aut")),  
             person("Maximilienne", "Schulze", role = c("aut")))
Description: 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.
Imports: deSolve, stats, graphics
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2026-10-17 08:41:04 UTC; root
Author: Adam Clark [aut, cre]
        (<https://orcid.org/0000-0002-8843-3278>), Lina Mühlbauer
        [aut], Maximilienne Schulze [aut]
Maintainer: Adam Clark <adam.tclark@gmail.com>
Repository: https://adamtclark.r-universe.dev
Date/Publication: 2025-05-06 11:33:37 UTC
RemoteUrl: https://github.com/adamtclark/gauser
RemoteRef: HEAD
RemoteSha: d722791f47d133b4c8e44ecd7be8108f3deec71c
Depends: R (>= 3.5.0)