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.
- Version1.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/09/2023
Documentation
Team
Christopher Jackson
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Last 30 days
This package has been downloaded 241 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
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Last 365 days
This package has been downloaded 2,811 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Aug 21, 2024 with 28 downloads.
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Dependencies
- Imports12 packages
- Suggests5 packages
- Linking To6 packages