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pyMultiFit

  • Installation
  • Tutorials
  • pyMultiFit API
  • Benchmarking with scipy
  • Mathematical formulae
  • GitHub
  • Installation
  • Tutorials
  • pyMultiFit API
  • Benchmarking with scipy
  • Mathematical formulae
  • GitHub
  • Overview: module code

All modules for which code is available

  • pymultifit.distributions.arcSine_d
  • pymultifit.distributions.backend.baseDistribution
  • pymultifit.distributions.backend.errorHandling
  • pymultifit.distributions.backend.polynomials
  • pymultifit.distributions.beta_d
  • pymultifit.distributions.chiSquare_d
  • pymultifit.distributions.exponential_d
  • pymultifit.distributions.foldedNormal_d
  • pymultifit.distributions.gamma_d
  • pymultifit.distributions.gaussian_d
  • pymultifit.distributions.generalized.genNorm_d
  • pymultifit.distributions.halfNormal_d
  • pymultifit.distributions.laplace_d
  • pymultifit.distributions.logNormal_d
  • pymultifit.distributions.scaledInvChiSquare_d
  • pymultifit.distributions.skewNormal_d
  • pymultifit.distributions.uniform_d
  • pymultifit.distributions.utilities_d
  • pymultifit.fitters.backend.baseFitter
  • pymultifit.fitters.chiSquare_f
  • pymultifit.fitters.exponential_f
  • pymultifit.fitters.foldedNormal_f
  • pymultifit.fitters.gamma_f
  • pymultifit.fitters.gaussian_f
  • pymultifit.fitters.halfNormal_f
  • pymultifit.fitters.laplace_f
  • pymultifit.fitters.logNormal_f
  • pymultifit.fitters.mixed_f
  • pymultifit.fitters.skewNormal_f
  • pymultifit.fitters.utilities_f
  • pymultifit.generators.generators

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