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ecospace  

Simulating Community Assembly and Ecological Diversification Using Ecospace Frameworks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ecospace", "1.4.2")



Attach the package and use:
library("ecospace")
Maintained by
Phil Novack-Gottshall
[Scholar Profile | Author Map]
First Published: 2015-10-29
Latest Update: 2020-06-13
Description:
Implements stochastic simulations of community assembly (ecological diversification) using customizable ecospace frameworks (functional trait spaces). Provides a wrapper to calculate common ecological disparity and functional ecology statistical dynamics as a function of species richness. Functions are written so they will work in a parallel-computing environment.
How to cite:
Phil Novack-Gottshall (2015). ecospace: Simulating Community Assembly and Ecological Diversification Using Ecospace Frameworks. R package version 1.4.2, https://cran.r-project.org/web/packages/ecospace. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0.0 (2015-10-29 15:36), 1.1.1 (2017-01-06 23:23), 1.1.3 (2017-02-20 08:11), 1.2.1 (2017-11-05 18:09), 1.2.3 (2018-02-18 22:09), 1.3.1 (2018-03-05 19:56)
Other packages that cited ecospace R package
View ecospace citation profile
Other R packages that ecospace depends, imports, suggests or enhances
Complete documentation for ecospace
Functions, R codes and Examples using the ecospace R package
Some associated functions: KWTraits . calc_metrics . create_ecospace . ecospace-package . expansion . neutral . partitioning . prep_data . rbind_listdf . redundancy . sample2 . unique2 . 
Some associated R codes: KWTraits.R . calc_metrics.R . create_ecospace.R . ecospace.R . expansion.R . neutral.R . partitioning.R . prep_data.R . rbind_listdf.R . redundancy.R . sample2.R . unique2.R .  Full ecospace package functions and examples
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