HMSC
The Hierarchical Modelling of Species Communities (HMSC) framework described in Ovaskainen et al. (2017). This framework uses Bayesian hierarchical modelling to account for environment, traits and phylogeny to model species communities. In addition, this framework also include and spatially (or temporally) autocorrelated latent variables to measure association among species. This R package implements all aspects of Ovaskainen et al. (2017) but is a work in progress that aims at going beyond the ideas presented in Ovaskainen et al. (2017).
This version of the R package is in development.
Installing HMSC
To install this development version of HMSC you can use the install_github function in the devtools package, like this:
### Install devtools (if you do not have them already)
# install.packages('devtools')
### Install depend packages (if you do not have them already)
# install.packages('Rcpp')
# install.packages('RcppArmadillo')
# install.packages('coda')
### Install suggested packages (if you do not have them already)
# install.packages('beanplot')
# install.packages('circlize')
# install.packages('corrplot')
# install.packages('coda')
# load the package
library(devtools)
# install HMSC from github
install_github('guiblanchet/HMSC')
# and load it
library(HMSC)
This installing is somewhat long, it take roughly 15 minutes, do not despair.
Note that many parts of the R package have been implemented using Rcpp, RcppArmadillo and C++11. This has been known to cause some installation issues especially under Mac OS X. Essentially, these problems arise because of C/C++ and Fortran compiler related issues. So far, these problems have been solved by following the explanation presented in section 2.10 and 2.16 of http://dirk.eddelbuettel.com/code/rcpp/Rcpp-FAQ.pdf.
More information on this issue is given here: http://thecoatlessprofessor.com/programming/rcpp-rcpparmadillo-and-os-x-mavericks-lgfortran-and-lquadmath-error/
Reporting bugs
If you find a bug in the code or have suggestions for improvements, please let me know via the issues reporting system
Reference
Ovaskainen, O., G. Tikhonov, A. Norberg, F. Guillaume Blanchet, L. Duan, D. Dunson, T. Roslin, and N. Abrego. 2017. How to make more out of community data? A conceptual framework and its implementation as models and software. Ecology Letters 20:561–576.