Package: paramix 0.0.2

Carl Pearson

paramix: Aggregate and Disaggregate Continuous Parameters for Compartmental Models

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).

Authors:Carl Pearson [aut, cre], Simon Proctor [aut], Lucy Goodfellow [aut]

paramix_0.0.2.tar.gz
paramix_0.0.2.zip(r-4.7)paramix_0.0.2.zip(r-4.6)paramix_0.0.2.zip(r-4.5)
paramix_0.0.2.tgz(r-4.6-any)paramix_0.0.2.tgz(r-4.5-any)
paramix_0.0.2.tar.gz(r-4.7-any)paramix_0.0.2.tar.gz(r-4.6-any)
paramix_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
paramix/json (API)
NEWS

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

Bug tracker:https://github.com/cmmid/paramix/issues

On CRAN:

Conda:

4.00 score 2 stars 6 scripts 514 downloads 6 exports 1 dependencies

Last updated from:a7d44da604. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK142
source / vignettesOK241
linux-release-x86_64OK171
macos-release-arm64OK172
macos-oldrel-arm64OK132
windows-develOK86
windows-releaseOK80
windows-oldrelOK69
wasm-releaseOK110

Exports:alembicblenddistilldistill_summaryinterpolate_optsparameter_summary

Dependencies:data.table

Introductory Usage: paramix

Rendered fromintro.Rmdusingknitr::rmarkdownon Jun 22 2026.

Last update: 2024-11-07
Started: 2024-04-13