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The logistic-normal Dirichlet Model (LNDM) for Compositional Data using R-INLA

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jmartinez-minaya/INLAcomp

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INLAcomp

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The goal of INLAcomp is to analyze compositional data with Logistic Normal distribution regression with Dirichlet residuals (LNDM) using the integrated nested Laplace approximation via the R-INLA package. Method is in Martinez-Minaya and Rue, 2024.

  • For a tutorial about how to fit a simple LNDM model using R-INLA, click here or here

  • The Spatial LNDM simulation conducted in the paper is available here. The generated html is availabe here

  • The code for the Real example depicted in the paper is available in the vignette. The generated html is available here

Installation

It is not yet in CRAN, but you can install the latest bugfix release of INLAcomp from github with:

remotes::install_github("https://github.com/jmartinez-minaya/INLAcomp")

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The logistic-normal Dirichlet Model (LNDM) for Compositional Data using R-INLA

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