Diewert and Fox's Method of Value Added Growth Decomposition
Decomposing value added growth into explanatory factors.
A cost constrained value added function is defined to specify the
production frontier. Industry estimates can also be aggregated
using a weighted average approach.
Details about the methodology and data can be found in Diewert and Fox (2018)
<doi:10.1093/oxfordhb/9780190226718.013.19>
and Zeng, Parsons, Diewert and Fox (2018)
<https://www.business.unsw.edu.au/research-site/centreforappliedeconomicresearch-site/Documents/emg2018-6_SZeng_EMG-Slides.pdf>.

Decomposing value added growth into explanatory factors.
A cost constrained value added function is defined to specify the
production frontier. Industry estimates can also be aggregated using
a weighted average approach.
Details about the methodology and data can be found in Diewert and Fox (2018)
<doi:10.1093/oxfordhb/9780190226718.013.19>
and Zeng, Parsons, Diewert and Fox (2018)
<https://www.business.unsw.edu.au/research-site/centreforappliedeconomicresearch-site/Documents/emg2018-6_SZeng_EMG-Slides.pdf>.

Capture-Recapture Estimation using Bayesian Model Averaging
James Johndrow, Kristian Lum, and Patrick Ball
Performs Bayesian model averaging for capture-recapture. This includes code to stratify records, check the strata for suitable overlap to be used for capture-recapture, and some functions to plot the estimated population size.

c(person(given="James", family="Johndrow", role=c("aut")),
person(given="Kristian", family="Lum", email="kl@hrdag.org", role=c("aut")),
person(given="Patrick", family="Ball", role=c("aut")),
person(given="Olivier", family="Binette", email="olivier.binette@gmail.com", role=c("ctb",  "cre")))
James Johndrow [aut],
Kristian Lum [aut],
Patrick Ball [aut],
Olivier Binette [ctb, cre]

Richard Barnes [aut, cre], Kevin Sahr [ctb], Gerald Evenden [ctb], Angus Johnson [ctb], Frank Warmerdam [ctb]
knitr, rmarkdown, maps, mapproj, R.rsp, testthat
c(person("Richard", "Barnes",    role = c("aut", "cre"), email = "rbarnes@umn.edu"),
person("Kevin",   "Sahr",      role = "ctb", email = "sahrk@sou.edu"),
person("Gerald",  "Evenden",   role = "ctb"),
person("Angus",   "Johnson",   role = "ctb"),
person("Frank",   "Warmerdam", role = "ctb"))
Spatial analyses involving binning require that every bin have the same area, but this is impossible using a rectangular grid laid over the Earth or over any projection of the Earth. Discrete global grids use hexagons, triangles, and diamonds to overcome this issue, overlaying the Earth with equally-sized bins. This package provides utilities for working with discrete global grids, along with utilities to aid in plotting such data.