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gauseR  

Lotka-Volterra Models for Gause's 'Struggle for Existence'
View on CRAN: Click here


Download and install gauseR package within the R console
Install from CRAN:
install.packages("gauseR")

Install from Github:
library("remotes")
install_github("cran/gauseR")

Install by package version:
library("remotes")
install_version("gauseR", "1.2")



Attach the package and use:
library("gauseR")
Maintained by
Adam Clark
[Scholar Profile | Author Map]
First Published: 2020-09-22
Latest Update: 2023-10-22
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 , and in Lina K. M
How to cite:
Adam Clark (2020). gauseR: Lotka-Volterra Models for Gause's 'Struggle for Existence'. R package version 1.2, https://cran.r-project.org/web/packages/gauseR. Accessed 13 Apr. 2025.
Previous versions and publish date:
1.0 (2020-09-22 11:50), 1.1 (2021-11-28 13:20)
Other packages that cited gauseR R package
View gauseR citation profile
Other R packages that gauseR depends, imports, suggests or enhances
Complete documentation for gauseR
Functions, R codes and Examples using the gauseR R package
Some associated functions: gauseR . gause_1931_AmN_f01 . gause_1931_AmN_f02 . gause_1931_AmN_f03 . gause_1932_QR_t05 . gause_1934_book_app_t01 . gause_1934_book_app_t02 . gause_1934_book_app_t03 . gause_1934_book_app_t04 . gause_1934_book_app_t05 . gause_1934_book_f04 . gause_1934_book_f09 . gause_1934_book_f10 . gause_1934_book_f11 . gause_1934_book_f12 . gause_1934_book_f13 . gause_1934_book_f14 . gause_1934_book_f15 . gause_1934_book_f16 . gause_1934_book_f18 . gause_1934_book_f19 . gause_1934_book_f21 . gause_1934_book_f22 . gause_1934_book_f23 . gause_1934_book_f24 . gause_1934_book_f25 . gause_1934_book_f26 . gause_1934_book_f28 . gause_1934_book_f29 . gause_1934_book_f30 . gause_1934_book_f31 . gause_1934_book_f32 . gause_1934_book_f39.1 . gause_1934_science_f01 . gause_1934_science_f02_03 . gause_1936_AnE_f01 . gause_1936_AnE_f03.1 . gause_1936_AnE_f03.3a . gause_1936_AnE_f03.3b . gause_1936_AnE_t02 . gause_1936_AnE_t03 . gause_wrapper . get_lag . get_logistic . huffaker_1963 . lv_interaction . lv_interaction_log . lv_optim . mclaren_1994_f03 . ode_prediction . percap_growth . test_goodness_of_fit . 
Some associated R codes: data.R . gauseR_man.R . gause_wrapper.R . get_lag.R . get_logistic.R . lv_interaction.R . lv_interaction_log.R . lv_optim.R . ode_prediction.R . percap_growth.R . test_goodness_of_fit.R .  Full gauseR package functions and examples
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