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Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.
R package providing utilities for INLA
BDM Code examples from Win/OpenBUGS, CARBayes and INLA
my master's thesis
Data and R scripts accompanying the paper "Forecasting deforestation in the Brazilian Amazon to prioritize conservation efforts"
Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature
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.
This repository contains example code to estimate spatially smoothed small area estimates of firearm suicide mortality rates across counties in the contiguous United States.
Code and data from the "Spatial and Spatio-temporal Bayesian Models with R-INLA" book
Temporal Integrative Genomics Analysis in R
Applied Spatial Data Analysis in geoscience
An introductory course to the INLA-software
Spatial Regression of Epilepsy Admissions in Australia
Elevational variation in tropical trees analysis
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.
Approximate inference of latent non-Gaussian models
Streamlined Model-based Geostatistics Functions for the SEEG Research Group
Spatial Regression of Dementia Incidence in Australia
This repository contains code to perform the wildlife density modelling approach outlined in Houldcroft et al. (2024).
Predicting insecticide use across Canada
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.
In this work, we stratify malaria cases across Malawi to sub-district level, quantify spatio-temporal patterns and examined the effects of climate, environment, and malaria intervention.
Models of the expansion of the black death and cholera outbreaks
Code in support of 'Bioclimatic context of species’ populations determines community stability' by Evans et al