paramix: Aggregate and Disaggregate Continuous Parameters for Compartmental Models (original) (raw)

A convenient framework for aggregating and disaggregating continuously varying parameters (for example, case fatality ratio, with age) for proper parametrization of lower-resolution compartmental models (for example, with broad age categories) and subsequent upscaling of model outputs to high resolution (for example, as needed when calculating age-sensitive measures like years-life-lost).

Version: 0.0.2
Depends: R (≥ 3.5.0)
Imports: data.table
Suggests: lintr, knitr, rmarkdown, ggplot2, roxygen2, wpp2019, testthat (≥ 3.0.0), patchwork
Published: 2025-06-10
DOI: 10.32614/CRAN.package.paramix
Author: Carl Pearson ORCID iD [aut, cre], Simon Proctor ORCID iD [aut], Lucy Goodfellow ORCID iD [aut]
Maintainer: Carl Pearson <carl.ab.pearson at gmail.com>
License: MIT + file
URL: https://cmmid.github.io/paramix/
NeedsCompilation: no
Materials: NEWS
CRAN checks: paramix results

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