disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling
Dublin Core
Title
disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling
Subject
Bayesian spatial modeling, disaggregation modeling, TMB.
Description
Disaggregation modeling, 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 modeling frameworks that can deal with this data to
understand spatial patterns. Disaggregation regression models use response data aggregated over large heterogeneous 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.
leading to an increasing demand for modeling frameworks that can deal with this data to
understand spatial patterns. Disaggregation regression models use response data aggregated over large heterogeneous 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.
Creator
Anita K. Nandi
Source
https://www.jstatsoft.org/article/view/v106i11
Publisher
University of Oxford
Date
March 2023
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Anita K. Nandi, “disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling,” Repository Horizon University Indonesia, accessed April 12, 2025, https://repository.horizon.ac.id/items/show/8302.