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RInSp  

R Individual Specialization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RInSp", "1.2.5")



Attach the package and use:
library("RInSp")
Maintained by
Dr. Nicola Zaccarelli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-07-26
Latest Update: 2022-05-20
Description:
Functions to calculate several ecological indices of individual and population niche width (Araujo's E, clustering and pairwise similarity among individuals, IS, Petraitis' W, and Roughgarden's WIC/TNW) to assess individual specialization based on data of resource use. Resource use can be quantified by counts of categories, measures of mass or length, or proportions. Monte Carlo resampling procedures are available for hypothesis testing against multinomial null models. Details are provided in Zaccarelli et al. (2013) and associated references.
How to cite:
Dr. Nicola Zaccarelli (2013). RInSp: R Individual Specialization. R package version 1.2.5, https://cran.r-project.org/web/packages/RInSp. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0 (2013-07-26 10:38), 1.1 (2015-02-04 15:51), 1.2.3 (2018-01-24 17:38), 1.2.4 (2020-02-11 18:10), 1.2 (2015-02-10 13:01)
Other packages that cited RInSp R package
View RInSp citation profile
Other R packages that RInSp depends, imports, suggests or enhances
Complete documentation for RInSp
Functions, R codes and Examples using the RInSp R package
Some associated functions: Eindex . Emc . Hier2L . MCp.RInSp . NODF . Null.Hp.RInSp . PSicalc . RInSp-package . RinSp2vegan . Stickleback . Trout . WTcMC . WTdMC . import.RInSp . like.Wi . overlap . pop.diet . sumMC.RInSp . 
Some associated R codes: Eindex.R . Emc.R . Hier2L.R . Null.Hp.RInSp.R . PSicalc.R . WTcMC.R . WTdMC.R . import.RInSp.R . like.Wi.R . pop.diet.R . sumMC.RInSp.R .  Full RInSp package functions and examples
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