The goal of autoLIMR is to facilitate the inclusion of data uncertainty in ecological models. autoLIMR does this by:
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Automated construction of input files from network data, directly compatible with R packages LIM and limSolve
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Calculation of multiple plausible network configuration using linear inverse modelling and Markov Chain Monte Carlo (LIM-MCMC), and
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Evaluation of model quality using several visual and statistical MCMC convergence diagnostics.
You can find the published article here. Please use this citation:
Gerber, G., Brooker, B., Scharler, U.M., 2023. Automated workflow for incorporation and evaluation of data uncertainty in ecological networks with autoLIMR. Ecol. Inform. 78, 102375. https://doi.org/10.1016/j.ecoinf.2023.102375
You can install the latest version of autoLIMR from GitHub with:
# install.packages("devtools")
devtools::install_github("gemmagerber/autoLIMR")