CRAN/E | disbayes

disbayes

Bayesian Multi-State Modelling of Chronic Disease Burden Data

Installation

About

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.

chjackson.github.io/disbayes/
System requirements GNU make
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 3.5.0
Published 2023-09-09 201 days ago
Needs compilation? yes
License GPL-3
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Maintainer

Maintainer

Christopher Jackson

chris.jackson@mrc-bsu.cam.ac.uk

Authors

Christopher Jackson

aut / cre / cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Bayesian estimation of chronic disease epidemiology from incomplete data: the disbayes package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

disbayes archive

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

Suggests

knitr
rmarkdown
rstantools ≥ 2.0.0.9000
tempdisagg
testthat

LinkingTo

BH ≥ 1.66.0
Rcpp ≥ 0.12.0
RcppParallel
RcppEigen ≥ 0.3.3.3.0
rstan ≥ 2.26.0
StanHeaders ≥ 2.26.0