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 Jackson [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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=disbayes to link to this page.
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