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.">

AMISforInfectiousDiseases: Implement the AMIS Algorithm for Infectious Disease Models (original) (raw)

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.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: Hmisc, mclust, mnormt, Rcpp, weights
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, ggplot2, patchwork, rmarkdown, sf, viridis
Published: 2025-01-20
DOI: 10.32614/CRAN.package.AMISforInfectiousDiseases
Author: Evandro Konzen ORCID iD [aut], Renata Retkute ORCID iD [aut], Raiha Browning ORCID iD [aut], Thilbault Lestang [aut], Simon Spencer ORCID iD [aut, cre], University of Warwick [cph], Oxford Research Software Engineering [cph]
Maintainer: Simon Spencer <s.e.f.spencer at warwick.ac.uk>
BugReports: https://github.com/drsimonspencer/AMISforInfectiousDiseases-dev/issues
License: MIT + file
URL: https://github.com/drsimonspencer/AMISforInfectiousDiseases-dev
NeedsCompilation: yes
Materials: README
CRAN checks: AMISforInfectiousDiseases results

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