disaggregation (0.1.3)

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Disaggregation Modelling.

http://cran.r-project.org/web/packages/disaggregation

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) .

Maintainer: Anita Nandi
Author(s): Anita Nandi [aut, cre] (<https://orcid.org/0000-0002-5087-2494>), Tim Lucas [aut] (<https://orcid.org/0000-0003-4694-8107>), Rohan Arambepola [aut], Andre Python [aut] (<https://orcid.org/0000-0001-8094-7226>)

License: MIT + file LICENSE

Uses: cowplot, doParallel, dplyr, foreach, ggplot2, maptools, Matrix, raster, rgdal, rgeos, sp, sparseMVN, splancs, TMB, testthat, SpatialEpi, knitr, rmarkdown

Released 6 days ago.


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