Package: disbayes 1.1.0

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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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 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

4.54 score 7 stars 10 scripts 250 downloads 11 exports 163 dependencies

Last updated 1 years agofrom:99c880c5ad. Checks:5 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-win-x86_64OKMar 25 2025
R-4.5-mac-x86_64OKMar 25 2025
R-4.5-mac-aarch64OKMar 25 2025
R-4.5-linux-x86_64OKMar 25 2025
R-4.4-win-x86_64NOTEMar 25 2025
R-4.4-mac-x86_64NOTEMar 25 2025
R-4.4-mac-aarch64NOTEMar 25 2025
R-4.4-linux-x86_64NOTEMar 25 2025
R-4.3-win-x86_64NOTEMar 25 2025
R-4.3-mac-x86_64NOTEMar 25 2025
R-4.3-mac-aarch64NOTEMar 25 2025

Exports:ci2numconflict_disbayesdisbayesdisbayes_hierlooloo_indivlooi_disbayesplotfit_data_disbayesplotfit_disbayestidytidy_obsdat

Dependencies:abindassertthatbackportsbase64encbbmlebdsmatrixBHbootbroombslibcachemcallrcarcarDatacheckmatecliclustercolorspacecolourpickercommonmarkcorrplotcowplotcpp11crayoncurldata.tableDerivdescdeSolvedigestdistributionaldoBydplyrevaluateexactRankTestsfansifarverfastGHQuadfastmapflexsurvfontawesomeforeignFormulafsgenericsggExtraggplot2ggpubrggrepelggridgesggsciggsignifggtextgluegridExtragridtextgtablehighrHmischtmlTablehtmltoolshtmlwidgetshttpuvinlineisobandjpegjquerylibjsonlitekm.ciKMsurvknitrlabelinglaterlatticelifecyclelitedownlme4loomagrittrmarkdownMASSMatrixMatrixModelsmatrixStatsmaxstatmemoisemgcvmicrobenchmarkmimeminiUIminqamnormtmodelrmstatemuhazmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgbuildpkgconfigpngpolynomposteriorprocessxpromisespspurrrquadprogquantregQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasrlangrmarkdownrpartrstanrstatixrstpm2rstudioapisassscalesSHELFshinyshinyjsshinyMatrixsnsourcetoolsSparseMStanHeadersstatmodstringistringrsurvivalsurvminersurvMisctensorAtibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunxml2xtableyamlzoo

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

Rendered fromdisbayes.Rmdusingknitr::rmarkdownon Mar 25 2025.

Last update: 2023-03-07
Started: 2021-07-01