Research project code for data-intensive approaches to making forecasts for biodiversity.
To fully run this code you will need R, a number of R packages including some development releases, and the Jupyter Notebook.
If you don't have Jupyter Notebook installed already we recommend installing the Anaconda Python distribution to get it.
Running install.R
should make sure all of the relevant packages are
installed including Jupyter Notebook integration. It will not re-install
packages that you already have thanks to
pacman.
Once everything is installed launch a Jupyter Notebook, using either the start
menu of jupyter notebook
from the command line, and run
forecasting-bbs-R.ipynb
.
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