flan: An R Package for Inference on Mutation Models

Adrien Mazoyer (1) , Rémy Drouilhet (2) , Stéphane Despréaux (3) , Bernard Ycart (1)

1 SVH - Statistique pour le Vivant et l’Homme
2 FIGAL - Fiabilité et Géométrie Aléatoire
3 LJK - Laboratoire Jean Kuntzmann

This paper describes flan, a package providing tools for fluctuation analysis of mutant cell counts. It includes functions dedicated to the distribution of final numbers of mutant cells. Parametric estimation and hypothesis testing are also implemented, enabling inference on different sorts of data with several possible methods. An overview of the subject is proposed. The general form of mutation models is described, including the classical models as particular cases. Estimating from a model, when the data have been generated by another, induces different possible biases, which are identified and discussed. The three estimation methods available in the package are described, and their mean squared errors are compared. Finally, implementation is discussed, and a few examples of usage on real data sets are given.

Mots clés: Mutation model; Fluctuation analysis; R; Simulation; Parametric Estimation

Domaines: Modélisation et simulation; Statistiques [math.ST]; Microbiologie et Parasitologie

Adrien Mazoyer, Rémy Drouilhet, Stéphane Despréaux, Bernard Ycart. flan: An R Package for Inference on Mutation Models. The R Journal, 2017, 9 (1), pp.334-351. ⟨10.32614/RJ-2017-029⟩. ⟨hal-01415996v3⟩