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NST
View on CRAN: Click
here
Download and install NST package within the R console
Install from CRAN:
install.packages("NST")
Install from Github:
library("remotes")
install_github("cran/NST")
Install by package version:
library("remotes")
install_version("NST", "3.1.10")
Attach the package and use:
library("NST")
Maintained by
Daliang Ning
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-15
Latest Update: 2022-06-05
Description:
To estimate ecological stochasticity in community assembly. Understanding the community assembly mechanisms controlling biodiversity patterns is a central issue in ecology. Although it is generally accepted that both deterministic and stochastic processes play important roles in community assembly, quantifying their relative importance is challenging. The new index, normalized stochasticity ratio (NST), is to estimate ecological stochasticity, i.e. relative importance of stochastic processes, in community assembly. With functions in this package, NST can be calculated based on different similarity metrics and/or different null model algorithms, as well as some previous indexes, e.g. previous Stochasticity Ratio (ST), Standard Effect Size (SES), modified Raup-Crick metrics (RC). Functions for permutational test and bootstrapping analysis are also included. Previous ST is published by Zhou et al (2014) . NST is modified from ST by considering two alternative situations and normalizing the index to range from 0 to 1 (Ning et al 2019) . A modified version, MST, is a special case of NST, used in some recent or upcoming publications, e.g. Liang et al (2020) . SES is calculated as described in Kraft et al (2011) . RC is calculated as reported by Chase et al (2011) and Stegen et al (2013) . Version 3 added NST based on phylogenetic beta diversity, used by Ning et al (2020) .
How to cite:
Daliang Ning (2019). NST: Normalized Stochasticity Ratio. R package version 3.1.10, https://cran.r-project.org/web/packages/NST. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for NST
Functions, R codes and Examples using
the NST R package
Some associated functions: NST-package . ab.assign . beta.g . beta.limit . betas.rand . bmntd.big . cNST . dist.3col . match.name . nst.boot . nst.panova . null.models . pNST . tNST . taxo.null . tda .
Some associated R codes: Full NST package functions and examples
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