knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of mvabund is to provide tools for a model-based approach to the analysis of multivariate abundance data in ecology (Yi Wang et al. 2011), in particular, testing hypothesis about the community-environment association. Abundance measures include counts, presence/absence data, ordinal or biomass data.
This package includes functions for visualising data, fitting predictive models, checking model assumptions, as well as testing hypotheses about the community–environment association.
mvabund
is available on CRAN and can be installed directly in R:
install.packages("mvabund") library(mvabund)
Alternatively, you can install the development version of mvabund
from GitHub with:
# install.packages("remotes") remotes::install_github("aliceyiwang/mvabund") library(mvabund)
We highly recommend you taking a good read of our vignette over at our website before launching into the mvabund
. Alternatively, you can access the vignettes in R by:
remotes::install_github("aliceyiwang/mvabund", build_vignettes = TRUE) vignette("mvabund")
mvabund
your supportcitation("mvabund")
Thanks for finding the bug! We would appreciate it if you can pop over to our Issues page and describe how to reproduce the bug!
mvabund
for comparing species composition across different habitats mvabund
Check out the list of studies that uses mvabund
in their analyses here
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