DESCRIPTION

Package: disaggregation
Type: Package
Title: Disaggregation Modelling
Version: 0.4.0
Authors@R: c(
    person("Anita", "Nandi", email = "anita.k.nandi@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-5087-2494")),
    person("Tim", "Lucas", email =  "timcdlucas@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4694-8107")),
    person("Rohan", "Arambepola", email = "rarambepola@gmail.com", role = "aut"),
    person("Andre", "Python", email = "python.andre@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-8094-7226")),
    person("Simon", "Smart", email = "simon.smart@cantab.net", role = "ctb")
    )
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Imports: 
    splancs,
    Matrix,
    stats,
    TMB,
    dplyr,
    ggplot2,
    cowplot,
    rSPDE,
    sparseMVN,
    fmesher,
    tidyterra,
    terra,
    sf,
    utils
Suggests: 
    testthat,
    knitr,
    rmarkdown,
    SpatialEpi
LinkingTo: 
    TMB,
    RcppEigen
SystemRequirements: GNU make
VignetteBuilder: knitr