Other packages > Find by keyword >

hilldiv  

Integral Analysis of Diversity Based on Hill Numbers
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hilldiv", "1.5.1")



Attach the package and use:
library("hilldiv")
Maintained by
Antton Alberdi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-01
Latest Update:
Description:
Tools for analysing, comparing, visualising and partitioning diversity based on Hill numbers. 'hilldiv' is an R package that provides a set of functions to assist analysis of diversity for diet reconstruction, microbial community profiling or more general ecosystem characterisation analyses based on Hill numbers, using OTU/ASV tables and associated phylogenetic trees as inputs. The package includes functions for (phylo)diversity measurement, (phylo)diversity profile plotting, (phylo)diversity comparison between samples and groups, (phylo)diversity partitioning and (dis)similarity measurement. All of these grounded in abundance-based and incidence-based Hill numbers. The statistical framework developed around Hill numbers encompasses many of the most broadly employed diversity (e.g. richness, Shannon index, Simpson index), phylogenetic diversity (e.g. Faith's PD, Allen's H, Rao's quadratic entropy) and dissimilarity (e.g. Sorensen index, Unifrac distances) metrics. This enables the most common analyses of diversity to be performed while grounded in a single statistical framework. The methods are described in Jost et al. (2007) , Chao et al. (2010) and Chiu et al. (2014) ; and reviewed in the framework of molecularly characterised biological systems in Alberdi & Gilbert (2019) .
How to cite:
Antton Alberdi (2019). hilldiv: Integral Analysis of Diversity Based on Hill Numbers. R package version 1.5.1, https://cran.r-project.org/web/packages/hilldiv. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 1.5.1 (2019-10-01 16:40)
Other packages that cited hilldiv R package
View hilldiv citation profile
Other R packages that hilldiv depends, imports, suggests or enhances
Complete documentation for hilldiv
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA