This package can find 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 MF (P=1), a mass-size distribution (P=2) or the mass-spin-morphology 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 |
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Author | Danail Obreschkow |
Maintainer | Danail Obreschkow <danail.obreschkow@icrar.org> |
License | GPL-3 |
Version | 0.98 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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