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Select
View on CRAN: Click
here
Download and install Select package within the R console
Install from CRAN:
install.packages("Select")
Install from Github:
library("remotes")
install_github("cran/Select") Install by package version:
library("remotes")
install_version("Select", "1.5") Attach the package and use:
library("Select")
Maintained by
Daniel Laughlin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-26
Latest Update:
Description:
The objective of these functions is to derive a species assemblage
that satisfies a functional trait profile. Restoring resilient ecosystems
requires a flexible framework for selecting assemblages that are based on the
functional traits of species. However, current trait-based models have been
limited to algorithms that can only select species by optimising specific trait
values, and could not elegantly accommodate the common desire among restoration
ecologists to produce functionally diverse assemblages. We have solved this
problem by applying a non-linear optimisation algorithm that optimises Rao Q,
a closed-form functional trait diversity index that incorporates species
abundances, subject to other linear constraints. This framework generalises
previous models that only optimised the entropy of the community, and can
optimise both functional diversity and entropy simultaneously. This package
can also be used to generate experimental assemblages to test the effects
of community-level traits on community dynamics and ecosystem function. The
method is based on theory discussed in Laughlin (2014, Ecology Letters)
.
How to cite:
Daniel Laughlin (2017). Select: Determines Species Probabilities Based on Functional Traits. R package version 1.5, https://cran.r-project.org/web/packages/Select. Accessed 26 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for Select
Functions, R codes and Examples using
the Select R package
Some associated functions: Select . pineforest . plotProbs . selectSpecies . serpentine . tropicalforest .
Some associated R codes: pineforest-data.R . plotProbs.R . selectSpecies.R . serpentine-data.R . tropicalforest-data.R . Full Select package functions and examples
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