Movatterモバイル変換


[0]ホーム

URL:


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:0.4.1
Imports:splancs,Matrix, stats,TMB,dplyr,ggplot2,cowplot,rSPDE,sparseMVN,fmesher,tidyterra,terra,sf, utils
LinkingTo:TMB,RcppEigen
Suggests:testthat,knitr,rmarkdown,SpatialEpi
Published:2025-08-22
DOI:10.32614/CRAN.package.disaggregation
Author:Anita NandiORCID iD [aut], Tim LucasORCID iD [aut, cre], Rohan Arambepola [aut], Andre PythonORCID iD [aut], Simon Smart [ctb]
Maintainer:Tim Lucas <timcdlucas at gmail.com>
License:MIT + fileLICENSE
NeedsCompilation:yes
SystemRequirements:GNU make
Citation:disaggregation citation info
CRAN checks:disaggregation results

Documentation:

Reference manual:disaggregation.html ,disaggregation.pdf
Vignettes:A short introduction to the disaggregation package (source,R code)

Downloads:

Package source: disaggregation_0.4.1.tar.gz
Windows binaries: r-devel:disaggregation_0.4.1.zip, r-release:disaggregation_0.4.1.zip, r-oldrel:disaggregation_0.4.1.zip
macOS binaries: r-release (arm64):disaggregation_0.4.1.tgz, r-oldrel (arm64):disaggregation_0.4.1.tgz, r-release (x86_64):disaggregation_0.4.1.tgz, r-oldrel (x86_64):disaggregation_0.4.1.tgz
Old sources: disaggregation archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=disaggregationto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp