An R package for Bayesian structural equation modeling using INLA
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Updated
Jun 5, 2024 - R
An R package for Bayesian structural equation modeling using INLA
Temporal Integrative Genomics Analysis in R
Models of the expansion of the black death and cholera outbreaks
Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature
This repository contains example code to estimate spatially smoothed small area estimates of firearm suicide mortality rates across counties in the contiguous United States.
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 code to perform the wildlife density modelling approach outlined in Houldcroft et al. (2024).
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.
Approximate inference of latent non-Gaussian models
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.
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.
Applied Spatial Data Analysis in geoscience
An R package with useful functions to diagnose INLA models
R package providing utilities for INLA
Code in support of 'Bioclimatic context of species’ populations determines community stability' by Evans et al
This repository is out of date. See instead: https://github.com/paigejo/ELK
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