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HierDpart  

Partitioning Hierarchical Diversity and Differentiation Across Metrics and Scales, from Genes to Ecosystems
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HierDpart", "1.5.0")



Attach the package and use:
library("HierDpart")
Maintained by
Xinghu Qin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-26
Latest Update: 2023-01-23
Description:
Miscellaneous R functions for calculating and decomposing hierarchical diversity metrics including hierarchical allele richness hierarchical exponential Shannon entropy true diversity of order q1 hierarchical heterozygosity and genetic differentiation Jaccard dissimilarity Delta D Fst and Josts D. In additiona new approach to identify population structure based on the homogeneity of multivariate variances of Shannon differentiation is presented. This package allows users to analyse spatial structured genetic data or species data under a unifying framework Gaggiotti O. E. et al 2018 Evol Appl 111176-1193 DOI10.1111eva.12593 which partitions diversity and differentiation into any hierarchical levels. It helps you easily structure and format your data. In summaryit implements the analyses of true diversity profiles q0 1 2 hierarchical diversities and differentiation decomposition visualization of population structure as well as the estimation of correlation between geographic distance and genetic differentiation.
How to cite:
Xinghu Qin (2018). HierDpart: Partitioning Hierarchical Diversity and Differentiation Across Metrics and Scales, from Genes to Ecosystems. R package version 1.5.0, https://cran.r-project.org/web/packages/HierDpart
Previous versions and publish date:
0.1.2 (2018-10-26 17:20), 0.2.0 (2019-01-31 15:13), 0.3.5 (2019-02-13 10:00), 0.5.0 (2019-10-03 14:30), 1.5.0 (2021-03-31 17:20)
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Functions, R codes and Examples using the HierDpart R package
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