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.

Getting started

Package details

AuthorSamantha Duchscherer [aut, cre], UT-Battelle, LLC [cph]
MaintainerSamantha Duchscherer <[email protected]>
LicenseMIT + file LICENSE
Version1.0.4
URL https://github.com/GIST-ORNL/revengc
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("revengc")

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revengc documentation built on May 2, 2019, 3:43 a.m.