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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: | 0.4.0 |
Imports: | splancs, Matrix, stats, TMB, dplyr, ggplot2, cowplot, rSPDE, sparseMVN, fmesher, tidyterra, terra, sf, utils |
LinkingTo: | TMB, RcppEigen |
Suggests: | testthat, knitr, rmarkdown, SpatialEpi |
Published: | 2024-10-02 |
DOI: | 10.32614/CRAN.package.disaggregation |
Author: | Anita Nandi [aut], Tim Lucas [aut, cre], Rohan Arambepola [aut], Andre Python [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 |
Reference manual: | disaggregation.pdf |
Vignettes: |
A short introduction to the disaggregation package (source, R code) |
Package source: | disaggregation_0.4.0.tar.gz |
Windows binaries: | r-devel: disaggregation_0.4.0.zip, r-release: disaggregation_0.4.0.zip, r-oldrel: disaggregation_0.4.0.zip |
macOS binaries: | r-release (arm64): disaggregation_0.4.0.tgz, r-oldrel (arm64): disaggregation_0.4.0.tgz, r-release (x86_64): disaggregation_0.4.0.tgz, r-oldrel (x86_64): disaggregation_0.4.0.tgz |
Old sources: | disaggregation archive |
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