Package: HierDpart
Version: 0.3.5
Date: 2019-02-10
Title: Partitioning Hierarchical Diversity and Differentiation Across
        Metrics and Scales, from Genes to Ecosystems
Description: Miscellaneous R functions for calculating and decomposing hierarchical diversity metrics, including hierarchical allele richness (q=0), 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.
Author: Xinghu Qin
Maintainer: Xinghu Qin <qinxinghu@gmail.com>
Depends: R (>= 3.0)
License: GPL (>= 3)
SystemRequirements: GNU make
URL: https://github.com/xinghuq/HierDpart
BugReports: https://github.com/xinghuq/HierDpart/issues
Imports: GGally, adegenet, diveRsity, dplyr, entropart, ggplot2,
        hierfstat, reshape2, tibble,ade4,vegan,ape,pegas,permute
VignetteBuilder: knitr
NeedsCompilation: no
RoxygenNote: 6.1.0
Suggests: knitr,testthat,rmarkdown
Packaged: 2019-02-12 18:11:33 UTC; xq5
Repository: CRAN
Date/Publication: 2019-02-13 09:00:03 UTC
