In criticality accidents there is a need to measure the radiation dose received by an individual. In such cases the dose can be calculated based on either a known or an uncertain neutron to gamma dose ratio. This study provides user-friendly R scripts implementing several methodologies, both frequentist and Bayesian, for radiation dose estimation in criticality accidents for different scenarios using the Dicentric Chromosome Assay (DCA). In addition to implementing four previously published methods, two new approaches are proposed: the first is based on Approximate Bayesian Computation (ABC), producing estimates comparable to the Bayesian approach while reducing computational time, suitable for deployment in free online tools with limited computational resources and multiple concurrent users. The second can be presented as the frequentist counterpart of the ABC method, simplifying dose estimation by avoiding the probability density functions typically required in Bayesian inference, particularly suitable when prior information is limited. Simulations using data from three independent published studies demonstrate that both the newly proposed methods and the implementations of established methodologies provide satisfactory dose estimates. All R scripts developed in this work are publicly available at: https://github.com/biodosetools-team/criticality_scripts.
