Skip to content

disbayes

1.1.1

Bayesian Multi-State Modelling of Chronic Disease Burden Data

0packages depend
3.8Kdownloads / year
79.2%test coverage
13/13checks pass

Overview

About
Maintained by Christopher JacksonFirst published 2022-08-223 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 13.7 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.39
79.2%
Coverage · measured lines
100%
Documentation · exports
13
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-27
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 5 earlier snapshots
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 400 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
89%
References docs
38%

Downloads

3.8K
CRAN downloads in the past year
Rank #6,029 · ~10/day · ~318/mo
Daily download trend is not available in this view yet.
27630 days
1.3K90 days
3.8K1 year
Compare downloads with other packages →
Also on413 r2u

Repository

Repository
10Stars
4Forks
0Open issues
0Open PRs
4Releases
125Commits
3Contributors
125 commits · Last activity 2026-04-28 · 0% stars, 30d

Stars over time

2025-08-07 · 92026-07-07 · 10

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/chjackson/disbayes on 2026-08-23.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (1)
RStudio project
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.1.1Latest
    2026-04-27 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.0
    2023-09-09 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    2022-08-22
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-08-22
Total releases
3 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
169 KB / 2 files
Download size
325 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("disbayes")
Jackson, C. (2026). disbayes: Bayesian Multi-State Modelling of Chronic Disease Burden Data (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.disbayes

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for disbayes version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy