disaggregation: An R Package for Bayesian Spatial Disaggregation Modelling
Computation
2020-01-15 v1 Methodology
Abstract
Disaggregation modelling, or downscaling, has become an important discipline in epidemiology. Surveillance data, aggregated over large regions, is becoming more common, leading to an increasing demand for modelling frameworks that can deal with this data to understand spatial patterns. Disaggregation regression models use response data aggregated over large heterogenous regions to make predictions at fine-scale over the region by using fine-scale covariates to inform the heterogeneity. This paper presents the R package disaggregation, which provides functionality to streamline the process of running a disaggregation model for fine-scale predictions.
Cite
@article{arxiv.2001.04847,
title = {disaggregation: An R Package for Bayesian Spatial Disaggregation Modelling},
author = {Anita K. Nandi and Tim C. D. Lucas and Rohan Arambepola and Peter Gething and Daniel J. Weiss},
journal= {arXiv preprint arXiv:2001.04847},
year = {2020}
}
Comments
16 pages, 5 figures, submitted to Journal of Statistical Software