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. (2021) <arXiv:2111.14100>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: dplyr, tidyr, magrittr, tibble, generics, methods, Rcpp (≥ 0.12.0), rstan (≥ 2.18.1), mgcv, SHELF, ggplot2, loo, matrixStats
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppParallel, RcppEigen (≥, rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: knitr, rmarkdown, rstantools (≥, tempdisagg, testthat
Published: 2022-08-22
Author: Christopher Jackson ORCID iD [aut, cre, cph]
Maintainer: Christopher Jackson <chris.jackson at mrc-bsu.cam.ac.uk>
BugReports: https://github.com/chjackson/disbayes/issues
License: GPL-3
URL: https://chjackson.github.io/disbayes/
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: disbayes results


Reference manual: disbayes.pdf
Vignettes: Bayesian estimation of chronic disease epidemiology from incomplete data: the disbayes package


Package source: disbayes_1.0.0.tar.gz
Windows binaries: r-devel: disbayes_1.0.0.zip, r-release: disbayes_1.0.0.zip, r-oldrel: disbayes_1.0.0.zip
macOS binaries: r-release (arm64): disbayes_1.0.0.tgz, r-oldrel (arm64): disbayes_1.0.0.tgz, r-release (x86_64): disbayes_1.0.0.tgz, r-oldrel (x86_64): disbayes_1.0.0.tgz


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