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paramix (version 0.0.1)

Aggregate and Disaggregate Continuous Parameters for Compartmental Models

Description

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).

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Version

Install

install.packages('paramix')

Monthly Downloads

573

Version

0.0.1

License

MIT + file LICENSE

Maintainer

Carl Pearson

Last Published

December 9th, 2024

Functions in paramix (0.0.1)

parameter_summary

Parameter Calculation Comparison Summary
to_function

Internal Conversion of Data to Function
blend

Blend Parameters
interpolate_opts

Interpolation Options
distill

Distill Outcomes
alembic

Create the Blending and Distilling Object
distill_summary

Distillation Calculation Comparison Summary
make_partition

Create a Least-Common-Interval Partition
make_weight

Compose Parameter & Density Functions
paramix-package

paramix: Aggregate and Disaggregate Continuous Parameters for Compartmental Models