myFitter documentation

These pages describe the myFitter package - a Python module for global fits and likelihood ratio tests. Its features include:

  • computing maximum likelihood estimates of model parameters,
  • handling of non-linear constraints on the parameter space,
  • computation of profile likelihoods,
  • visualisation of one and two-dimensional confidence regions (via matplotlib),
  • numerical computation of p-values in likelihood ratio tests by means of importance sampling (myFitter method),
  • parallelisation.

The concepts and algorithms implemented in myFitter are published in

M. Wiebusch, “Numerical Computation of p-values with myFitter”, Comput. Phys. Commun. (2013), DOI:10.1016/j.cpc.2013.06.008, arXiv:1207.1446v2

If you use the myFitter package for a scientific publication, please cite this paper.


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