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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.
Package details |
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Author | Evandro Konzen [aut] (<https://orcid.org/0000-0002-6275-1681>), Renata Retkute [aut] (<https://orcid.org/0000-0002-3877-6440>), Raiha Browning [aut] (<https://orcid.org/0000-0002-6175-2244>), Thilbault Lestang [aut], Simon Spencer [aut, cre] (<https://orcid.org/0000-0002-8375-5542>), University of Warwick [cph], Oxford Research Software Engineering [cph] |
Maintainer | Simon Spencer <s.e.f.spencer@warwick.ac.uk> |
License | MIT + file LICENSE |
Version | 0.1.0 |
URL | https://github.com/drsimonspencer/AMISforInfectiousDiseases-dev |
Package repository | View on CRAN |
Installation |
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