revengc: An R package to Reverse Engineer Summarized Data

Journal Article · 06 December 2018 · The R Journal

DOI: https://doi.org/10.32614/RJ-2018-044 · OSTI ID:1607249

Duchscherer, Samantha  ^[1]; Stewart, Robert  ^[2]; Urban, Marie  ^[2]

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1. Oak Ridge Associated Univ., Oak Ridge, TN (United States)
2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

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.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 1607249
• Journal Information: The R Journal, Journal Name: The R Journal Journal Issue: 2 Vol. 10; ISSN 2073-4859
• Publisher: The R FoundationCopyright Statement
• Country of Publication: United States
• Language: English