Package: disbayes 1.1.1

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>.

Authors:Christopher Jackson [aut, cre, cph]

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manual.pdf |manual.html✨
card.svg |card.png
disbayes/json (API)
NEWS

# Install 'disbayes' in R:
install.packages('disbayes', repos = c('https://chjackson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/chjackson/disbayes/issues

Pkgdown/docs site:https://chjackson.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • ihdengland - Ischemic heart disease in England
  • ihdtrends - Trends in ischemic heart disease in England

On CRAN:

Conda:

cpp

4.81 score 10 stars 13 scripts 561 downloads 11 exports 164 dependencies

Last updated from:0a0dd048b4. Checks:12 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK437
linux-devel-x86_64OK419
source / vignettesOK537
linux-release-arm64OK446
linux-release-x86_64OK453
macos-release-arm64OK275
macos-release-x86_64OK568
macos-oldrel-arm64OK321
macos-oldrel-x86_64OK580
windows-develOK567
windows-releaseOK526
windows-oldrelOK564
wasm-releaseFAIL205

Exports:ci2numconflict_disbayesdisbayesdisbayes_hierlooloo_indivlooi_disbayesplotfit_data_disbayesplotfit_disbayestidytidy_obsdat

Dependencies:abindassertthatbackportsbase64encbbmlebdsmatrixBHbootbroombslibcachemcallrcarcarDatacheckmatecliclustercolorspacecolourpickercommonmarkcorrplotcowplotcpp11curldata.tableDerivdescdeSolvedigestdistributionaldoBydplyrevaluateexactRankTestsfarverfastGHQuadfastmapflexsurvfontawesomeforecastforeignFormulafracdifffsgenericsggExtraggplot2ggpubrggrepelggridgesggsciggsignifggtextgluegridExtragridtextgtablehighrHmischtmlTablehtmltoolshtmlwidgetshttpuvinlineisobandjpegjquerylibjsonliteknitrlabelinglaterlatticelifecyclelitedownlme4lmtestloolsodamagrittrmarkdownMASSMatrixMatrixModelsmatrixStatsmaxstatmemoisemgcvmicrobenchmarkmimeminiUIminqamnormtmodelrmstatemuhazmvtnormnlmenloptrnnetnumDerivotelpbkrtestpillarpkgbuildpkgconfigpngpolynomposteriorprocessxpromisespspurrrquadprogquantregQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasrlangrmarkdownrpartrstanrstatixrstpm2rstudioapiS7sassscalesSHELFshinyshinyjsshinyMatrixsnsourcetoolsSparseMStanHeadersstatmodstringistringrsurvivalsurvminertensorAtibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunxml2xtableyamlzoo

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

Chris Jackson [email protected]

Rendered fromdisbayes.Rmdusingknitr::rmarkdownon May 24 2026.

Last update: 2026-04-24
Started: 2021-07-01