Implement the AMIS Algorithm for Infectious Disease Models
Overview
Implements the Adaptive Multiple Importance Sampling (AMIS) algorithm, as described by Retkute et al. (2021, doi:10.1214/21-AOAS1486), to estimate key epidemiological parameters by combining outputs from a geostatistical model of infectious diseases (such as prevalence, incidence, or relative risk) with a disease transmission model. Utilising the resulting posterior distributions, the package enables forward projections at the local level.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
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- ERROR13 OK, 1 ERROR2026-03-10
Documentation
- Help pages
- 9 (1 internal)includes a package overview page
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 20%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 11%
- Fitting Ascariasis data HTML
- Simulation study HTML
Downloads
Repository
2 development-tooling and community-health practices detected across 1 family in the upstream repository
Checks run against github.com/drsimonspencer/amisforinfectiousdiseases-dev on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing AMISforInfectiousDiseases adds 98 packages (55 with compiled code, 82 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.0Latest2025-01-20 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-01-20
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1
- Download size
- 358 KB
Cite
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