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) .


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install.packages("disaggregation")

0.1.3 by Anita Nandi, 9 months 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