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DiversityStats  

Diversity Indices with Statistical Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DiversityStats", "0.1.0")



Attach the package and use:
library("DiversityStats")
Maintained by
J. Aravind
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-04
Latest Update: 2026-05-04
Description:
Provides a comprehensive framework for analyzing diversity from frequency/abundance count data. Implements a wide range of classical and entropy-based diversity indices, including Berger-Parker, Simpson (and related variants), Shannon, Brillouin, McIntosh, Margalef, Menhinick and Smith-Wilson. Supports permutation-based hypothesis tests for comparing groups with respect to diversity (global and pairwise comparisons), as well as confidence interval estimation using multiple bootstrap methods. Includes functionality for generating diversity profiles based on parametric families such as Hill numbers, Rényi entropy, and Tsallis entropy. The methods are applicable to ecological community data (species abundance counts) and genetic or phenotypic class frequency data.
How to cite:
J. Aravind (2026). DiversityStats: Diversity Indices with Statistical Inference. R package version 0.1.0, https://cran.r-project.org/web/packages/DiversityStats. Accessed 25 Oct. 2026.
Previous versions and publish date:
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Complete documentation for DiversityStats
Functions, R codes and Examples using the DiversityStats R package
Full DiversityStats package functions and examples
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