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:

cpp

4.60 score 8 stars 10 scripts 196 downloads 11 exports 162 dependencies

Last updated 1 years agofrom:99c880c5ad. Checks:2 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 24 2025
R-4.5-win-x86_64NOTEJan 24 2025
R-4.5-linux-x86_64OKJan 24 2025
R-4.4-win-x86_64NOTEJan 24 2025
R-4.4-mac-x86_64NOTEJan 24 2025
R-4.4-mac-aarch64NOTEJan 24 2025
R-4.3-win-x86_64NOTEJan 24 2025
R-4.3-mac-x86_64NOTEJan 24 2025
R-4.3-mac-aarch64NOTEJan 24 2025

Exports:ci2numconflict_disbayesdisbayesdisbayes_hierlooloo_indivlooi_disbayesplotfit_data_disbayesplotfit_disbayestidytidy_obsdat

Dependencies:abindassertthatbackportsbase64encbbmlebdsmatrixBHbootbroombslibcachemcallrcarcarDatacheckmatecliclustercolorspacecolourpickercommonmarkcorrplotcowplotcpp11crayoncurldata.tableDerivdescdeSolvedigestdistributionaldoBydplyrevaluateexactRankTestsfansifarverfastGHQuadfastmapflexsurvfontawesomeforeignFormulafsgenericsggExtraggplot2ggpubrggrepelggridgesggsciggsignifggtextgluegridExtragridtextgtablehighrHmischtmlTablehtmltoolshtmlwidgetshttpuvinlineisobandjpegjquerylibjsonlitekm.ciKMsurvknitrlabelinglaterlatticelifecyclelme4loomagrittrmarkdownMASSMatrixMatrixModelsmatrixStatsmaxstatmemoisemgcvmicrobenchmarkmimeminiUIminqamnormtmodelrmstatemuhazmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgbuildpkgconfigpngpolynomposteriorprocessxpromisespspurrrquadprogquantregQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasrlangrmarkdownrpartrstanrstatixrstpm2rstudioapisassscalesSHELFshinyshinyjsshinyMatrixsnsourcetoolsSparseMStanHeadersstatmodstringistringrsurvivalsurvminersurvMisctensorAtibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunxml2xtableyamlzoo

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

Chris Jackson [email protected]

Rendered fromdisbayes.Rmdusingknitr::rmarkdownon Jan 24 2025.

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