Radir package: An R implementation for cytogenetic biodosimetry dose estimation

David Moriña, Manuel Higueras, Pedro Puig, Elizabeth Ainsbury, Kai Rothkamm

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The Bayesian framework has been shown to be very useful in cytogenetic dose estimation. This approach allows description of the probability of an event in terms of previous knowledge, e.g. its expectation and/or its uncertainty. A new R package entitled radir (radiation inverse regression) has been implemented with the aim of reproducing a recent Bayesian-type dose estimation methodology. radir adopts the method of dose estimation under the Poisson assumption of the responses (the chromosomal aberrations counts) for the required dose-response curve (typically linear or quadratic). The individual commands are described in detail and relevant examples of the use of the methods and the corresponding radir software tools are given. The suitability of this methodology is highlighted and its application encouraged by providing a user-friendly command-type software interface within the R statistical software (version 3.1.1 or higher), which includes a complete manual.

Original languageEnglish
Pages (from-to)557-569
Number of pages13
JournalJournal of Radiological Protection
Volume35
Issue number3
DOIs
Publication statusPublished - 1 Sep 2015

Keywords

  • Bayesian methods
  • cytogenetic dosimetry
  • dose estimation
  • inverse regression
  • R software
  • radiation
  • radir package

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