Package: disaggregation 0.4.0
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>.
Authors:
disaggregation_0.4.0.tar.gz
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disaggregation_0.4.0.tgz(r-4.6-x86_64)disaggregation_0.4.0.tgz(r-4.6-arm64)disaggregation_0.4.0.tgz(r-4.5-x86_64)disaggregation_0.4.0.tgz(r-4.5-arm64)
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disaggregation_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
disaggregation/json (API)
| # Install 'disaggregation' in R: |
| install.packages('disaggregation', repos = c('https://timcdlucas.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/timcdlucas/disaggregation/issues
Last updated from:51660f4533. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 242 | ||
| linux-devel-x86_64 | OK | 236 | ||
| source / vignettes | OK | 328 | ||
| linux-release-arm64 | OK | 238 | ||
| linux-release-x86_64 | OK | 493 | ||
| macos-release-arm64 | OK | 328 | ||
| macos-release-x86_64 | OK | 512 | ||
| macos-oldrel-arm64 | OK | 404 | ||
| macos-oldrel-x86_64 | OK | 527 | ||
| windows-devel | OK | 325 | ||
| windows-release | OK | 223 | ||
| windows-oldrel | OK | 207 | ||
| wasm-release | OK | 148 |
Exports:as.disag_databuild_meshdisag_modelgetCovariateRastersgetPolygonDatagetStartendindexmake_model_objectplot_disag_model_datapredict_modelpredict_uncertaintyprepare_data
Dependencies:backportsbroomclassclassIntclicowplotcpp11data.tableDBIdplyre1071farverfmeshergenericsggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixpillarpkgconfigproxypurrrR6RColorBrewerRcppRcppEigenrlangrSPDEs2S7scalessfspsparseMVNsplancsstringistringrterratibbletidyrtidyselecttidyterraTMBunitsutf8vctrsviridisLitewithrwk
