CRAN/E | codyn

codyn

Community Dynamics Metrics

Installation

About

Univariate and multivariate temporal and spatial diversity indices, rank abundance curves, and community stability measures. The functions implement measures that are either explicitly temporal and include the option to calculate them over multiple replicates, or spatial and include the option to calculate them over multiple time points. Functions fall into five categories: static diversity indices, temporal diversity indices, spatial diversity indices, rank abundance curves, and community stability measures. The diversity indices are temporal and spatial analogs to traditional diversity indices. Specifically, the package includes functions to calculate community richness, evenness and diversity at a given point in space and time. In addition, it contains functions to calculate species turnover, mean rank shifts, and lags in community similarity between two time points. Details of the methods are available in Hallett et al. (2016) doi:10.1111/2041-210X.12569 and Avolio et al. (2019) doi:10.1002/ecs2.2881.

Citation codyn citation info
github.com/NCEAS/codyn/
Bug report File report

Key Metrics

Version 2.0.5
R ≥ 3.2.0
Published 2020-12-01 1241 days ago
Needs compilation? no
License Apache License (== 2.0)
CRAN checks codyn results

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Maintainer

Maintainer

Matthew B. Jones

jones@nceas.ucsb.edu

Authors

Lauren Hallett

aut

Meghan L. Avolio

aut

Ian T. Carroll

aut

Sydney K. Jones

aut

A. Andrew M. MacDonald

aut

Dan F. B. Flynn

aut

Peter Slaughter

aut

Julie Ripplinger

aut

Scott L. Collins

aut

Corinna Gries

aut

Matthew B. Jones

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Community stability metrics
Temporal diversity indices
codyn: Community Dynamic Metrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

codyn archive

Depends

R ≥ 3.2.0

Imports

assertthat
stats
permute
vegan

Suggests

testthat
knitr
ggplot2
pillar
reshape2
devtools
dplyr
rmarkdown