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]

disbayes_1.1.0.tar.gz
disbayes_1.1.0.zip(r-4.5)disbayes_1.1.0.zip(r-4.4)disbayes_1.1.0.zip(r-4.3)
disbayes_1.1.0.tgz(r-4.4-x86_64)disbayes_1.1.0.tgz(r-4.4-arm64)disbayes_1.1.0.tgz(r-4.3-x86_64)disbayes_1.1.0.tgz(r-4.3-arm64)
disbayes_1.1.0.tar.gz(r-4.5-noble)disbayes_1.1.0.tar.gz(r-4.4-noble)
disbayes.pdf |disbayes.html✨
disbayes/json (API)
NEWS

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

Peer review:

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

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:

11 exports 7 stars 1.47 score 112 dependencies 9 scripts 275 downloads

Last updated 11 months agofrom:99c880c5ad. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-win-x86_64NOTEAug 27 2024
R-4.5-linux-x86_64NOTEAug 27 2024
R-4.4-win-x86_64NOTEAug 27 2024
R-4.4-mac-x86_64NOTEAug 27 2024
R-4.4-mac-aarch64NOTEAug 27 2024
R-4.3-win-x86_64NOTEAug 27 2024
R-4.3-mac-x86_64NOTEAug 27 2024
R-4.3-mac-aarch64NOTEAug 27 2024

Exports:ci2numconflict_disbayesdisbayesdisbayes_hierlooloo_indivlooi_disbayesplotfit_data_disbayesplotfit_disbayestidytidy_obsdat

Dependencies:abindbackportsbase64encBHbslibcachemcallrcheckmatecliclustercolorspacecolourpickercommonmarkcpp11crayondata.tabledescdigestdistributionaldplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsggExtraggplot2ggridgesgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetshttpuvinlineisobandjquerylibjsonliteknitrlabelinglaterlatticelifecycleloomagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmimeminiUImnormtmunsellnlmennetnumDerivpillarpkgbuildpkgconfigposteriorprocessxpromisespspurrrquantregQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelrlangrmarkdownrpartrstanrstudioapisassscalesSHELFshinyshinyjsshinyMatrixsnsourcetoolsSparseMStanHeadersstringistringrsurvivaltensorAtibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunxtableyaml

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

Chris Jackson [email protected]

Rendered fromdisbayes.Rmdusingknitr::rmarkdownon Aug 27 2024.

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