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), andWorld 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.
| Original language | English |
|---|---|
| Pages (from-to) | 114-123 |
| Number of pages | 10 |
| Journal | R Journal |
| Volume | 10 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2019 |
Funding
This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy. Accordingly, the United States Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The publisher, by accepting the article for publication, acknowledges the above-mentioned conditions
| Funders | Funder number |
|---|---|
| US Department of Energy | |
| UT-Battelle | DE-AC05-00OR22725 |
| United States Government |