Flexible modelling of spatial variation in agricultural field trials with the R package INLA
نویسندگان
چکیده
منابع مشابه
Bayesian Spatial Modelling with R-INLA
The principles behind the interface to continuous domain spatial models in the RINLA software package for R are described. The Integrated Nested Laplace Approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009) is a computationally effective alternative to MCMC for Bayesian inference. INLA is designed for latent Gaussian models, a very wide and flexible class of models ranging f...
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During the last three decades, Bayesian methods have developed greatly in the field of epidemiology. Their main challenge focusses around computation, but the advent of Markov Chain Monte Carlo methods (MCMC) and in particular of the WinBUGS software has opened the doors of Bayesian modelling to the wide research community. However model complexity and database dimension still remain a constrai...
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This is a vignette for the R package CARBayes version 4.1, and is an updated version of a paper in the Journal of Statistical Software in 2013 Volume 55 Issue 13 by the same author. This vignette describes the class of models that can be implemented in CARBayes, and gives 3 worked examples of spatial data analysis using the package.
متن کاملCARBayes: An R Package for Bayesian Spatial Modelling with Conditional Autoregressive Priors
This is a vignette for the R package CARBayes version 4, and is an updated version of a paper in the Journal of Statistical Software in 2013 Volume 55 Issue 13 with the same title and author. This vignette is required because CARBayes has been updated both in terms of syntax and functionality since the paper appeared in the Journal of Statistical Software.
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ژورنال
عنوان ژورنال: Theoretical and Applied Genetics
سال: 2019
ISSN: 0040-5752,1432-2242
DOI: 10.1007/s00122-019-03424-y