Implement the AMIS Algorithm for Infectious Disease Models R package AMISforInfectiousDiseases version 0.1.0 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. Software Depends: R (>= 4.1) Imports: Hmisc, mclust, mnormt, Rcpp, weights LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, ggplot2, patchwork, rmarkdown, sf, viridis Simon Spencer <s.e.f.spencer@warwick.ac.uk> Comprehensive R Archive Network (CRAN) Evandro Konzen [aut] (ORCID: <https://orcid.org/0000-0002-6275-1681>), Renata Retkute [aut] (ORCID: <https://orcid.org/0000-0002-3877-6440>), Raiha Browning [aut] (ORCID: <https://orcid.org/0000-0002-6175-2244>), Thilbault Lestang [aut], Simon Spencer [aut, cre] (ORCID: <https://orcid.org/0000-0002-8375-5542>), University of Warwick [cph], Oxford Research Software Engineering [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=AMISforInfectiousDiseases/LICENSE) 2025-01-20 application/tgz https://CRAN.R-project.org/package=AMISforInfectiousDiseases doi:10.32614/CRAN.package.AMISforInfectiousDiseases