chjackson/disbayes: Bayesian Multi-State Modelling of Chronic Disease Burden Data

Estimation of incidence and case fatality for a chronic disease, given partial information, using a multi-state model. Given data on age-specific mortality and either incidence or prevalence, Bayesian inference is used to estimate the posterior distributions of incidence, case fatality, and functions of these such as prevalence. The methods are described in Jackson et al. (2023) <doi:10.1093/jrsssa/qnac015>.

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.1.0
URL https://chjackson.github.io/disbayes/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("chjackson/disbayes")
chjackson/disbayes documentation built on Nov. 1, 2023, 10:43 a.m.