Other packages > Find by keyword >

NST  

Normalized Stochasticity Ratio
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]
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 25 Jun. 2026.
Previous versions and publish date:
2.0.3 (2019-06-15 10:30), 2.0.4 (2019-10-08 21:40), 3.0.3 (2020-09-16 07:30), 3.0.6 (2021-01-08 07:10), 3.1.9 (2022-04-11 11:12)
Other packages that cited NST R package
View NST citation profile
Other R packages that NST depends, 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA