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) <doi:10.1101/548719>.
| Version: |
0.1.4 |
| Imports: |
maptools, raster, foreach, sp, parallel, doParallel, rgeos, splancs, rgdal, Matrix, stats, TMB, dplyr, ggplot2, cowplot, sparseMVN, utils |
| LinkingTo: |
TMB, RcppEigen |
| Suggests: |
testthat, INLA, knitr, rmarkdown, SpatialEpi |
| Published: |
2022-09-06 |
| Author: |
Anita Nandi  [aut],
Tim Lucas [aut,
cre],
Rohan Arambepola [aut],
Andre Python
[aut] |
| Maintainer: |
Tim Lucas <timcdlucas at gmail.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Additional_repositories: |
https://inla.r-inla-download.org/R/stable |
| Citation: |
disaggregation citation info |
| CRAN checks: |
disaggregation results |