CRAN: Package disaggregation

disaggregation: Disaggregation Modelling

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>.

Version: 0.4.1

Imports: splancs, Matrix, stats, TMB, dplyr, ggplot2, cowplot, rSPDE, sparseMVN, fmesher, tidyterra, terra, sf, utils

LinkingTo: TMB, RcppEigen

Suggests: testthat, knitr, rmarkdown, SpatialEpi

Published: 2025年08月22日

DOI: 10.32614/CRAN.package.disaggregation

Author: Anita Nandi ORCID iD [aut], Tim Lucas ORCID iD [aut, cre], Rohan Arambepola [aut], Andre Python ORCID iD [aut], Simon Smart [ctb]

Maintainer: Tim Lucas <timcdlucas at gmail.com>

License: MIT + file LICENSE

NeedsCompilation: yes

SystemRequirements: GNU make

Citation: disaggregation citation info

CRAN checks: disaggregation results

Documentation:

Reference manual: disaggregation.html , disaggregation.pdf

Vignettes: A short introduction to the disaggregation package (source, R code)

Downloads:

Package source: disaggregation_0.4.1.tar.gz

Windows binaries: r-devel: disaggregation_0.4.1.zip, r-release: disaggregation_0.4.1.zip, r-oldrel: disaggregation_0.4.1.zip

macOS binaries: r-release (arm64): disaggregation_0.4.1.tgz, r-oldrel (arm64): disaggregation_0.4.1.tgz, r-release (x86_64): disaggregation_0.4.1.tgz, r-oldrel (x86_64): disaggregation_0.4.1.tgz

Old sources: disaggregation archive

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