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.

Functions for phylogenetic analyses

BDM Code examples from Win/OpenBUGS, CARBayes and INLA

R package providing utilities for INLA

Repository to the R package nowcaster, nowcasting with INLA

An R package for Bayesian structural equation modeling using INLA

Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature

An R package with useful functions to diagnose INLA models

Temporal Integrative Genomics Analysis in R

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.

R library for ggplots of INLA Fixed Effect Coefficients

Applied Spatial Data Analysis in geoscience

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.

This repository contains example code to estimate spatially smoothed small area estimates of firearm suicide mortality rates across counties in the contiguous United States.

Streamlined Model-based Geostatistics Functions for the SEEG Research Group

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.

INLA output to tibble and ggplot