revengc: Reverse Engineering Summarized Data

Decoupled (e.g. separate averages) and censored (e.g. > 100 species) variables are continually reported by many well-established organizations (e.g. World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), World Bank, and various national censuses). The challenge therefore is to infer what the original data could have been given summarized information. We present an R package that reverse engineers decoupled and/or censored count data with two main functions. The cnbinom.pars() function estimates the average and dispersion parameter of a censored univariate frequency table. The rec() function reverse engineers summarized data into an uncensored bivariate table of probabilities.

Version: 1.0.3
Depends: R (≥ 3.1.2)
Imports: stringr, mipfp, dplyr, truncdist
Suggests: R.rsp
Published: 2018-09-24
Author: Samantha Duchscherer [aut, cre], UT-Battelle, LLC [cph]
Maintainer: Samantha Duchscherer <sam.duchscherer at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/GIST-ORNL/revengc
NeedsCompilation: no
Materials: README
CRAN checks: revengc results

Downloads:

Reference manual: revengc.pdf
Vignettes: R packages: LaTeX vignettes
Package source: revengc_1.0.3.tar.gz
Windows binaries: r-devel: revengc_1.0.3.zip, r-release: revengc_1.0.3.zip, r-oldrel: revengc_1.0.2.zip
OS X binaries: r-release: revengc_1.0.3.tgz, r-oldrel: revengc_1.0.2.tgz
Old sources: revengc archive

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