The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

To cite serrsBayes in publications use:

Moores MT, Carson J, Moskowitz B, Gracie K, Faulds K, Girolami M (2020). serrsBayes: Bayesian Modelling of Raman Spectroscopy. doi:10.5281/zenodo.3861862, https://CRAN.R-project.org/package=serrsBayes.

The Bayesian model and SMC algorithm were first introduced in:

Moores MT, Gracie K, Carson J, Faulds K, Graham D, Girolami M (2016). “Bayesian modelling and quantification of Raman spectroscopy.” arXiv preprint. https://arxiv.org/abs/1604.07299.

An extension of the model for CARS spectroscopy:

H"ark"onen T, Roininen L, Moores MT, Vartiainen EM (2020). “Bayesian quantification for coherent anti-Stokes Raman scattering spectroscopy.” arXiv preprint. https://arxiv.org/abs/2005.06830.

Corresponding BibTeX entries:

  @Manual{,
    title = {{serrsBayes}: {B}ayesian Modelling of {R}aman
      Spectroscopy},
    author = {Matthew T. Moores and Jake Carson and Benjamin Moskowitz
      and Kirsten Gracie and Karen Faulds and Mark Girolami},
    year = {2020},
    doi = {10.5281/zenodo.3861862},
    url = {https://CRAN.R-project.org/package=serrsBayes},
  }
  @Article{,
    title = {Bayesian modelling and quantification of {R}aman
      spectroscopy},
    author = {Matthew T. Moores and Kirsten Gracie and Jake Carson and
      Karen Faulds and Duncan Graham and Mark Girolami},
    journal = {arXiv preprint},
    year = {2016},
    url = {https://arxiv.org/abs/1604.07299},
  }
  @Article{,
    title = {Bayesian quantification for coherent anti-{S}tokes {R}aman
      scattering spectroscopy},
    author = {Teemu H{"a}rk{"o}nen and Lassi Roininen and Matthew T.
      Moores and Erik M. Vartiainen},
    journal = {arXiv preprint},
    year = {2020},
    url = {https://arxiv.org/abs/2005.06830},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.