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.
