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disbayes: Bayesian Multi-State Modelling of Chronic Disease Burden Data (original) (raw)

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>.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: dplyr, tidyr, magrittr, tibble, generics, methods, Rcpp (≥ 0.12.0), rstan (≥ 2.26.0), mgcv, SHELF, ggplot2, loo, matrixStats
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppParallel, RcppEigen (≥ 0.3.3.3.0), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0)
Suggests: knitr, rmarkdown, rstantools (≥ 2.0.0.9000), tempdisagg, testthat
Published: 2023-09-09
DOI: 10.32614/CRAN.package.disbayes
Author: Christopher JacksonORCID 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

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