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. A useful reference for disaggregation modelling is Lucas et al. (2019) .


Reference manual

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0.1.3 by Anita Nandi, a year ago

Browse source code at https://github.com/cran/disaggregation

Authors: Anita Nandi [aut, cre] , Tim Lucas [aut] , Rohan Arambepola [aut] , Andre Python [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports maptools, raster, foreach, sp, parallel, doParallel, rgeos, splancs, rgdal, Matrix, stats, TMB, dplyr, ggplot2, cowplot, sparseMVN, utils

Suggests testthat, INLA, knitr, rmarkdown, SpatialEpi

Linking to TMB, RcppEigen

System requirements: GNU make

See at CRAN