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Supplementary material and reproducible research files for article “A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations” by Emma Skarstein, Sara Martino and Stefanie Muff.
A Shiny App for Spatial Modeling. It allows the users to perform geostatistical models, LGCP models, preferential models and joint models with mixture independent-dependent samplings (which we will refer as mixture models). This is done under the Bayesian paradigm and by means of the INLA approach.
This repository contains example code to estimate spatially smoothed small area estimates of firearm suicide mortality rates across counties in the contiguous United States.
Online version of Dynamic Time Series Models using R-INLA: An Applied Perspective. Ravishanker, Raman, Soyer, 2022. Also includes R codes and data sets from the book.