Analysing multivariate ecological data with Generalized Linear Latent Variable Models Thanks for participating, and welcome to this BES workshop on the gllvm R-package.
Before continuing further to the exercise material, please make sure you have installed the following, required, R-packages:
install.packages(" corrplot" " dplyr" " mvabund" " gllvm" If you are on a linux operating system, make sure that gsl is installed (outside of R). If, during installation of the gllvm R-package you are getting an error relating to the R-package RccpGSL , go to the linux command line an run sudo apt install libgsl-dev .
If you encounter any other problems while installing any of the packages above (especially mvabund or gllvm , and you are using an old(er) R version, please try to update R. If after doing so you still encounter issues with the installation, please contact us.
If you encounter any problems when using the gllvm R-package, please explore existing issues in the github repository of the package . If your problem has not already been posted by someone else, feel free to post a new issue or use the discussion board in this repository.
All workshop material can be found in this repository, listed below. If you would like to download all material at once, click the right green button above (and select the bottom option: download zip). Recordings of the workshop are available here: https://t.co/eWfbfk27Fu?amp=1 .
Day 1 - With focus on model-based ordination
Background on Generalized Linear Latent Variable Models gllvm R-packageEcological interpretation of GLLVM results
Day 2 - With focus on Joint Species Distribution Models
Background on Generalized Linear Latent Variable Models gllvm R-packageEcological interpretation of GLLVM results
Further example material on using the gllvm R-package is available in the vignettes, and the reference manual , of the package:https://jenniniku.github.io/gllvm/articles/ https://jenniniku.github.io/gllvm/articles/vignette1.html https://jenniniku.github.io/gllvm/articles/vignette2.html https://jenniniku.github.io/gllvm/articles/vignette3.html https://jenniniku.github.io/gllvm/articles/vignette4.html https://jenniniku.github.io/gllvm/articles/vignette5.html https://jenniniku.github.io/gllvm/articles/vignette6.html
Any questions regarding the exercise material can be posted on the discussion board, or communicated over twitter using the #GLLVMs hashtag , directed @vdVeenB , @J__Niku , @samperrinNTNU , or @BobOHara .
Alternatively, you can contract us by e-mail: bert.v.d.veen@ntnu.no , jenni.m.e.niku@jyu.fi , sam.perrin@ntnu.no , bob.ohara@ntnu.no
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