HierDpart: Partitioning Hierarchical Diversity and Differentiation Across Metrics and Scales, from Genes to Ecosystems

Miscellaneous R functions for calculating and decomposing multiple hierarchical diversity metrics, including hierarchical allele richness (q=1), hierarchical exponential Shannon entropy (q=1), hierarchical heterozygosity (q=2) and genetic differentiation (Fst and Delta D). This package allows you to analyse spatial structured genetic data or species data under a unifying framework (Gaggiotti, O. E. et al, 2018, Evol Appl, 11:1176-1193; <DOI:10.1111/eva.12593>), which partitions diversity and differentiation into any hierarchical levels. It helps you easily structure and format your data. It produces diversity profiles (q=0,1,2), hierarchical diversities and differentiation, as well as the the correlation between geographic distance and genetic differentiation.

Package details

AuthorXinghu Qin
MaintainerXinghu Qin <[email protected]>
LicenseGPL (>= 3)
Version0.1.2
URL https://github.com/xinghuq/HierDpart
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("HierDpart")

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HierDpart documentation built on Oct. 26, 2018, 5:05 p.m.