This package can find the most likely P parameters of a Ddimensional distribution function (DF) generating N objects, where each object is specified by D observables with measurement uncertainties. For instance, if the objects are galaxies, it can fit a MF (P=1), a masssize distribution (P=2) or the massspinmorphology distribution (P=3). Unlike most common fitting approaches, this method accurately accounts for measurement is uncertainties and complex selection functions. A full description of the algorithm can be found in Obreschkow et al. (2017).
Package details 


Author  Danail Obreschkow 
Maintainer  Danail Obreschkow <[email protected]> 
License  GPL3 
Version  0.93 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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