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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: |
0.4.0 |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=disaggregation
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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