Diversity Indices with Statistical Inference R package DiversityStats version 0.1.0 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. Software Depends: R (>= 3.5) Imports: boot, dplyr, mathjaxr, multcompView, Rdpack, stats, tidyr, utils Suggests: cluster, EvaluateCore, ggplot2, knitr, pander, rmarkdown, vegan J. Aravind <j.aravind@icar.org.in> Comprehensive R Archive Network (CRAN) J. Aravind [aut, cre] (ORCID: <https://orcid.org/0000-0002-4791-442X>), Suman Roy [aut] (ORCID: <https://orcid.org/0000-0001-5612-8415>), Anju Mahendru Singh [aut] (ORCID: <https://orcid.org/0000-0001-6958-1630>), ICAR-NBGPR [cph] (ROR: <https://ror.org/00scbd467>, url: https://nbpgr.org.in/) GPL (>= 2) 2026-05-04 application/tgz https://CRAN.R-project.org/package=DiversityStats doi:10.32614/CRAN.package.DiversityStats