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 | |
|---|---|
| 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:  | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.