radir package: an R implementation for cytogenetic biodosimetry dose estimation

Area of Science:

• Radiation Biology
• Biostatistics
• Computational Biology

Background:

• The Bayesian framework offers a robust approach for estimating radiation dose by incorporating prior knowledge and uncertainty.
• Accurate cytogenetic dose estimation is crucial for biological dosimetry and radiation risk assessment.

Purpose of the Study:

• To introduce the 'radir' R package, designed to implement a Bayesian-type dose estimation methodology.
• To provide a user-friendly software tool for applying advanced statistical methods in radiation dosimetry.

Main Methods:

• The 'radir' package utilizes a Bayesian framework for dose estimation.
• It employs the Poisson assumption for chromosomal aberration counts (responses).
• Dose-response curves, typically linear or quadratic, are modeled for inverse regression.

Main Results:

• The 'radir' package successfully reproduces a Bayesian dose estimation methodology.
• Detailed command descriptions and practical examples are provided within the package.
• The software includes a comprehensive manual for user guidance.

Conclusions:

• The 'radir' R package offers a valuable and accessible tool for cytogenetic dose estimation.
• Its user-friendly interface encourages the application of Bayesian methods in radiation research.
• The package supports dose estimation using established dose-response models and statistical assumptions.