stacie package

Submodules

• stacie.conditioning module
  • ConditionedCost
    • ConditionedCost.cost
    • ConditionedCost.cost_scale
    • ConditionedCost.from_reduced()
    • ConditionedCost.funcgrad()
    • ConditionedCost.hess()
    • ConditionedCost.par_scales
    • ConditionedCost.to_reduced()
• stacie.cost module
  • LowFreqCost
    • LowFreqCost.amplitudes
    • LowFreqCost.expected()
    • LowFreqCost.freqs
    • LowFreqCost.model
    • LowFreqCost.ndofs
    • LowFreqCost.weights
  • entropy_gamma()
  • logpdf_gamma()
  • varlogp_gamma()
• stacie.cutoff module
  • CV2LCriterion
    • CV2LCriterion.cond
    • CV2LCriterion.fcut_factor
    • CV2LCriterion.log
    • CV2LCriterion.name
    • CV2LCriterion.precondition
    • CV2LCriterion.regularize
  • CutoffCriterion
    • CutoffCriterion.name
  • linear_weighted_regression()
  • switch_func()
• stacie.estimate module
  • Result
    • Result.acint
    • Result.acint_std
    • Result.corrtime_exp
    • Result.corrtime_exp_std
    • Result.corrtime_int
    • Result.corrtime_int_std
    • Result.cutoff_criterion
    • Result.fcut
    • Result.history
    • Result.model
    • Result.ncut
    • Result.neff
    • Result.props
    • Result.spectrum
  • estimate_acint()
  • fit_model_spectrum()
  • summarize_results()
• stacie.model module
  • ExpPolyModel
    • ExpPolyModel.bounds()
    • ExpPolyModel.compute()
    • ExpPolyModel.degrees
    • ExpPolyModel.derive_props()
    • ExpPolyModel.get_par_nonlinear()
    • ExpPolyModel.name
    • ExpPolyModel.npar
    • ExpPolyModel.par_scales
    • ExpPolyModel.solve_linear()
  • LorentzModel
    • LorentzModel.denom_degrees
    • LorentzModel.derive_props()
    • LorentzModel.name
    • LorentzModel.numer_degrees
    • LorentzModel.relerr_threshold
  • PadeModel
    • PadeModel.bounds()
    • PadeModel.compute()
    • PadeModel.denom_degrees
    • PadeModel.derive_props()
    • PadeModel.get_par_nonlinear()
    • PadeModel.name
    • PadeModel.npar
    • PadeModel.numer_degrees
    • PadeModel.par_scales
    • PadeModel.solve_linear()
  • SpectrumModel
    • SpectrumModel.bounds()
    • SpectrumModel.compute()
    • SpectrumModel.configure_scales()
    • SpectrumModel.derive_props()
    • SpectrumModel.get_par_nonlinear()
    • SpectrumModel.name
    • SpectrumModel.neglog_prior()
    • SpectrumModel.npar
    • SpectrumModel.par_scales
    • SpectrumModel.sample_nonlinear_pars()
    • SpectrumModel.scales
    • SpectrumModel.solve_linear()
    • SpectrumModel.valid()
    • SpectrumModel.which_invalid()
  • guess()
• stacie.plot module
  • fixformat()
  • plot_acint_estimates()
  • plot_all_models()
  • plot_cutoff_weight()
  • plot_evals()
  • plot_extras()
  • plot_fitted_spectrum()
  • plot_qq()
  • plot_results()
  • plot_sanity()
  • plot_spectrum()
  • plot_uncertainty()
  • rms()
• stacie.spectrum module
  • Spectrum
    • Spectrum.amplitudes
    • Spectrum.amplitudes_ref
    • Spectrum.freqs
    • Spectrum.mean
    • Spectrum.ndofs
    • Spectrum.nfreq
    • Spectrum.nstep
    • Spectrum.timestep
    • Spectrum.variance
    • Spectrum.without_zero_freq()
  • compute_spectrum()
• stacie.synthetic module
  • generate()
• stacie.utils module
  • PositiveDefiniteError
  • UnitConfig
    • UnitConfig.acint_fmt
    • UnitConfig.acint_symbol
    • UnitConfig.acint_unit
    • UnitConfig.acint_unit_str
    • UnitConfig.clb
    • UnitConfig.clevel
    • UnitConfig.cub
    • UnitConfig.freq_fmt
    • UnitConfig.freq_unit
    • UnitConfig.freq_unit_str
    • UnitConfig.time_fmt
    • UnitConfig.time_unit
    • UnitConfig.time_unit_str
  • block_average()
  • label_unit()
  • mixture_stats()
  • robust_dot()
  • robust_posinv()
  • split()

Module contents

The STACIE package.