Disaggregation Modelling R package disaggregation version 0.4.1 Fits disaggregation regression models using 'TMB' ('Template Model Builder'). When the response data are aggregated to polygon level but the predictor variables are at a higher resolution, these models can be useful. Regression models with spatial random fields. The package is described in detail in Nandi et al. (2023) <doi:10.18637/jss.v106.i11>. Software Imports: splancs, Matrix, stats, TMB, dplyr, ggplot2, cowplot, rSPDE, sparseMVN, fmesher, tidyterra, terra, sf, utils LinkingTo: TMB, RcppEigen Suggests: testthat, knitr, rmarkdown, SpatialEpi Tim Lucas <timcdlucas@gmail.com> Comprehensive R Archive Network (CRAN) Anita Nandi [aut] (ORCID: <https://orcid.org/0000-0002-5087-2494>), Tim Lucas [aut, cre] (ORCID: <https://orcid.org/0000-0003-4694-8107>), Rohan Arambepola [aut], Andre Python [aut] (ORCID: <https://orcid.org/0000-0001-8094-7226>), Simon Smart [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=disaggregation/LICENSE) 2025-08-22 application/tgz https://CRAN.R-project.org/package=disaggregation doi:10.32614/CRAN.package.disaggregation