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Given the hypothesis of a bimodal distribution of cells for each marker, the algorithm constructs a binary tree, the nodes of which are subpopulations of cells. At each node, observed cells and markers are modeled by both a family of normal distributions and a family of bimodal normal mixture distributions. Splitting is done according to a normalized difference of AIC between the two families. Method is detailed in: Commenges, Alkhassim, Gottardo, Hejblum & Thiebaut (2018) <doi: 10.1002/cyto.a.23601>.
Package details 


Author  Chariff Alkhassim, Boris P Hejblum, Anthony Devaux, Van Hung Huynh Tran 
Maintainer  Boris P Hejblum <boris.hejblum@ubordeaux.fr> 
License  LGPL3  file LICENSE 
Version  2.0.2 
Package repository  View on CRAN 
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