revengc: Reverse Engineering Censored, Decoupled Residential Data for Population Density Estimation

A wealth of open source information is available that points to building usage including floor area of building size and likely occupancy. In the case of residential structures, census data provides a number of attributes including two values important to interior density estimation: household size (hhs) and area. If a national census revealed the raw data or provided a full uncensored contingency table (hhs x area), computing interior density as people/area would be straightforward. However, agencies rarely report this contingency table. Rather hhs and area are often decoupled and reported as separate univariate frequency tables, average values, or a combination of the two. In addition, the decoupled or contingency tables provided are typically left (<, <=), right (>, >=), and interval (-) censored. This type of information becomes problematic in estimating interior residential occupancy for numerous reasons. How can the people/area ratio be calculated when no affiliation between the variables exist? If a census reports a hhs average of 5.3, then how many houses are there with 1 person, 2 people,..., 10 people? If a census reports that there are 100 houses in an area of 26-50 square meters, then how many houses are in 26, 27,..., 50 square meters? The challenge therefore is to infer the people/area ratio when given decoupled and summarized data. The statistical package 'revengc' was designed to reverse engineer censored, decoupled census data into a likely hhs x area uncensored contingency table for estimating interior residential occupancy.

Version: 1.0.0
Depends: R (≥ 2.14)
Imports: stringr
Suggests: R.rsp
Published: 2017-08-18
Author: Samantha Duchscherer [aut, cre], UT-Battelle, LLC [cph]
Maintainer: Samantha Duchscherer <sam.duchscherer at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: revengc results


Reference manual: revengc.pdf
Vignettes: R packages: LaTeX vignettes
Package source: revengc_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: revengc_1.0.0.tgz, r-oldrel: revengc_1.0.0.tgz


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