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 15 Jul. 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), (2026-07-09 08:15)
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

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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