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[ascl:1805.002] dftools: Distribution function fitting

dftools, written in R, finds the most likely P parameters of a D-dimensional 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 mass function (D=1), a mass-size distribution (D=2) or the mass-spin-morphology distribution (D=3). Unlike most common fitting approaches, this method accurately accounts for measurement in uncertainties and complex selection functions.

Code site:
https://github.com/obreschkow/dftools
Appears in:
http://adsabs.harvard.edu/abs/2018MNRAS.474.5500O
Bibcode:
2018ascl.soft05002O

ascl:1805.002
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