Bayesian models' outputs for: A new method to explicitly estimate the shift of optimum along gradients in multispecies studies
Data files
Jan 11, 2023 version files 9.66 GB
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appli_out-ehmos.RData
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appli_out-glmm.RData
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README.md
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simu_out-ehmos.RData
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simu_out-glmm.RData
Abstract
This repository contains data to reproduce analysis presented in the paper:
B. Mourguiart, B. Liquet, K. Mengersen, T. Couturier, J. Mansons, Y. Braud, A. Besnard . A new method to explicitly estimate the shift of optimum along gradients in multispecies studies. Journal of Biogeography, (in press).
The paper introduces a new formulation of a Bayesian hierarchical linear model that explicitly estimates optimum shifts for multiple species having symmetrical response curves. This new formulation, called Explicit Hierarchical Model of Optimum Shifts (EHMOS), is compared to a mean comparison method and a Bayesian generalized linear mixed model (GLMM) using simulated and real datasets. Fitting the models to the simulated data took several days. Here we provide the models' outputs needed to reproduce the results presented in the paper without re-running the models.
Usage notes
The software R is required to open the data files.