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

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disaggregation.pdf |disaggregation.html✨
disaggregation/json (API)

# Install 'disaggregation' in R:
install.packages('disaggregation', repos = c('https://timcdlucas.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/timcdlucas/disaggregation/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

4.78 score 2 stars 9 scripts 342 downloads 11 exports 60 dependencies

Last updated 10 days agofrom:51660f4533. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-win-x86_64OKNov 13 2024
R-4.5-linux-x86_64OKNov 13 2024
R-4.4-win-x86_64OKNov 13 2024
R-4.4-mac-x86_64OKNov 13 2024
R-4.4-mac-aarch64OKNov 13 2024
R-4.3-win-x86_64OKNov 13 2024
R-4.3-mac-x86_64OKNov 13 2024
R-4.3-mac-aarch64OKNov 13 2024

Exports:as.disag_databuild_meshdisag_modelgetCovariateRastersgetPolygonDatagetStartendindexmake_model_objectplot_disag_model_datapredict_modelpredict_uncertaintyprepare_data

Dependencies:backportsbroomclassclassIntclicolorspacecowplotcpp11data.tableDBIdplyre1071fansifarverfmeshergenericsggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigproxypurrrR6RColorBrewerRcppRcppEigenrlangrSPDEs2scalessfspsparseMVNsplancsstringistringrterratibbletidyrtidyselecttidyterraTMBunitsutf8vctrsviridisLitewithrwk

A short introduction to the disaggregation package

Anita Nandi

Rendered fromdisaggregation.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-11-13
Started: 2019-10-15