tcup 0.7.1

Robust Bayesian regression with measurement error

t-cup - robust linear regression

This package presents a statistical model for robust linear regression where both independent and dependent variables are measured with measurement error.

This code is bundled with XDGMM, a Python package implementing the extreme deconvolution algorithm.

More information can be found in the accompanying paper ( arXiv, ADS, GitHub). If you find the package useful, please consider citing the paper:

@article{tcup,
       author = {{Martin}, William and {Mortlock}, Daniel J.},
        title = "{Robust Bayesian regression in astronomy}",
      journal = {arXiv e-prints},
     keywords = {Astrophysics - Instrumentation and Methods for Astrophysics, Statistics - Methodology},
         year = 2024,
        month = nov,
          eid = {arXiv:2411.02380},
        pages = {arXiv:2411.02380},
          doi = {10.48550/arXiv.2411.02380},
archivePrefix = {arXiv},
       eprint = {2411.02380},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024arXiv241102380M},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}