Hierarchical change-point regression models including random effects to estimate empirical critical loads for nitrogen using Bayesian Regression Models (brms) and JAGS

Author:

Roth TobiasORCID,Tresch Simon,Du Enzai,Braun Sabine

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Clinical Biochemistry

Reference28 articles.

1. Using change-point models to estimate empirical critical loads for nitrogen in mountain ecosystems;Roth;Environ. Pollut.,2017

2. Spatially divergent trends of nitrogen versus phosphorus limitation across European forests;Du;Sci. Total Environ.,2021

3. R Core Team, Team R Development Core, R: A Language and Environment for Statistical Computing, 2021, http://www.r-project.org/.

4. J.J. Allaire, Y. Xie, J. McPherson, J. Luraschi, K. Ushey, A. Atkins, H. Wickham, J. Cheng, W. Chang, R. Iannone, rmarkdown: Dynamic Documents for R, 2021. https://github.com/rstudio/rmarkdown.

5. JAGS: A Program for Analysis of Bayesian Graphical Models using Gibbs Sampling;Plummer;3rd Int. Work. Distrib. Stat. Comput. (DSC 2003); Vienna, Austria,2003

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