Package: disaggregation 0.3.0

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/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:

11 exports 2 stars 1.19 score 57 dependencies 5 scripts 310 downloads

Last updated 3 months agofrom:d967097c5d. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-win-x86_64NOTEAug 23 2024
R-4.5-linux-x86_64OKAug 23 2024
R-4.4-win-x86_64OKAug 23 2024
R-4.4-mac-x86_64OKAug 23 2024
R-4.4-mac-aarch64OKAug 23 2024
R-4.3-win-x86_64NOTEAug 23 2024
R-4.3-mac-x86_64OKAug 23 2024
R-4.3-mac-aarch64OKAug 23 2024

Exports:as.disag_databuild_meshdisag_modelfit_modelgetCovariateRastersgetPolygonDatagetStartendindexmake_model_objectpredict_modelpredict_uncertaintyprepare_data

Dependencies:classclassIntclicolorspacecowplotcpp11data.tableDBIdplyre1071fansifarverfmeshergenericsggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigproxypurrrR6RColorBrewerRcppRcppEigenrlangs2scalessfspsparseMVNsplancsstringistringrterratibbletidyrtidyselecttidyterraTMBunitsutf8vctrsviridisLitewithrwk

A short introduction to the disaggregation package

Rendered fromdisaggregation.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2024-01-08
Started: 2019-10-15