EBM is an R package for maximum likelihood estimation of k-box stochastic energy balance models.
EBM has now been ported to Python. New users are strongly encouraged to download the Python version instead, as the R package here is no longer actively developed.
Cummins, D. P., Stephenson, D. B., & Stott, P. A. (2020). Optimal Estimation of Stochastic Energy Balance Model Parameters, Journal of Climate, 33(18), 7909-7926, https://doi.org/10.1175/JCLI-D-19-0589.1
The EBM package is archived on Zenodo and has its own digital object identifier (DOI):
EBM can be installed directly from GitHub using the remotes package for R.
To install remotes from CRAN, open an R session and run
install.packages("remotes")
To install EBM using remotes, run
remotes::install_github("donaldcummins/EBM")
Once installed, EBM can be loaded into an R session using
library(EBM)
EBM is licenced under the GNU General Public License v3.0 - see the LICENCE file for details.
EBM depends on the following R packages:
We thank the respective authors for making their software available.