The twoStepsBenchmark() and threeRuleSmooth() functions allow you to
disaggregate a low-frequency time-serie with higher frequency time-series,
using the French National Accounts methodology. The aggregated sum of the
resulting time-serie is strictly equal to the low-frequency serie within the
benchmarking window. Typically, the low-frequency serie is an annual one,
unknown for the last year, and the high frequency one is either quarterly or
monthly. See "Methodology of quarterly national accounts", Insee Méthodes
N°126, by Insee (2012, ISBN:978-2-11-068613-8, <https://www.insee.fr/en/information/2579410>).

c(
person("Anita", "Nandi", email = "anita.k.nandi@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5087-2494")),
person("Tim", "Lucas", email =  "timcdlucas@gmail.com", role = "aut", 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"))
)
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>.
maptools, raster, foreach, sp, parallel, doParallel, rgeos,
splancs, rgdal, Matrix, stats, TMB, dplyr, ggplot2, cowplot,
sparseMVN, utils
testthat, INLA, knitr, rmarkdown, SpatialEpi
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>)

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