The R Journal: accepted article

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revengc: An R package to Reverse Engineer Summarized Data PDF download
Samantha Duchscherer, Robert Stewart and Marie Urban

Abstract Decoupled (e.g. separate averages) and censored (e.g. > 100 species) variables are continually reported by many well-established organizations, such as the World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), and World Bank. The challenge therefore is to infer what the original data could have been given summarized information. We present an R package that reverse engineers censored and/or decoupled 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.

Received: 2017-08-24; online 2018-12-07, supplementary material, (2.1 Kb)
CRAN packages: revengc, truncdist, mipfp
CRAN Task Views implied by cited CRAN packages: OfficialStatistics


CC BY 4.0
This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2018-044,
  author = {Samantha Duchscherer and Robert Stewart and Marie Urban},
  title = {{revengc: An R package to Reverse Engineer Summarized Data}},
  year = {2018},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2018-044},
  url = {https://journal.r-project.org/archive/2018/RJ-2018-044/index.html}
}