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gauseR
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.gauseR . gauseR results . gauseR.pdf . Example Analyses in gauseR . gauseR_1.2.tar.gz . gauseR_1.2.zip . gauseR_1.2.zip . gauseR_1.2.zip . gauseR_1.2.tgz . gauseR_1.2.tgz . gauseR_1.2.tgz . gauseR_1.2.tgz . gauseR_1.2.tgz . gauseR_1.2.tgz . gauseR archive . https://CRAN.R-project.org/package=gauseR .
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.
Other packages that cited gauseR R package
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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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