Index A | B | C | D | E | F | G | H | L | M | N | P | R | S | T | U | V | W A ACF acint (Result property) acint_fmt (UnitConfig attribute) acint_std (Result property) acint_symbol (UnitConfig attribute) acint_unit (UnitConfig attribute) acint_unit_str (UnitConfig attribute) amplitudes (LowFreqCost attribute) (Spectrum attribute) amplitudes_ref (Spectrum attribute) B block_average() (in module stacie.utils) bounds() (ExpPolyModel method) (PadeModel method) (SpectrumModel method) C clb (UnitConfig property) clevel (UnitConfig attribute) compute() (ExpPolyModel method) (PadeModel method) (SpectrumModel method) compute_spectrum() (in module stacie.spectrum) cond (CV2LCriterion attribute) ConditionedCost (class in stacie.conditioning) configure_scales() (SpectrumModel method) corrtime_exp (Result property) corrtime_exp_std (Result property) corrtime_int (Result property) corrtime_int_std (Result property) cost (ConditionedCost attribute) cost_scale (ConditionedCost attribute) cub (UnitConfig property) cutoff_criterion (Result attribute) CutoffCriterion (class in stacie.cutoff) CV2LCriterion (class in stacie.cutoff) D degrees (ExpPolyModel attribute) denom_degrees (LorentzModel attribute) (PadeModel attribute) derive_props() (ExpPolyModel method) (LorentzModel method) (PadeModel method) (SpectrumModel method) E entropy_gamma() (in module stacie.cost) estimate_acint() (in module stacie.estimate) expected() (LowFreqCost method) ExpPolyModel (class in stacie.model) F fcut (Result property) fcut_factor (CV2LCriterion attribute) fit_model_spectrum() (in module stacie.estimate) fixformat() (in module stacie.plot) freq_fmt (UnitConfig attribute) freq_unit (UnitConfig attribute) freq_unit_str (UnitConfig attribute) freqs (LowFreqCost attribute) (Spectrum attribute) from_reduced() (ConditionedCost method) funcgrad() (ConditionedCost method) G generate() (in module stacie.synthetic) get_par_nonlinear() (ExpPolyModel method) (PadeModel method) (SpectrumModel method) guess() (in module stacie.model) H hess() (ConditionedCost method) history (Result attribute) L label_unit() (in module stacie.utils) LAMMPS linear_weighted_regression() (in module stacie.cutoff) log (CV2LCriterion attribute) logpdf_gamma() (in module stacie.cost) LorentzModel (class in stacie.model) LowFreqCost (class in stacie.cost) M MD mean (Spectrum attribute) mixture_stats() (in module stacie.utils) model (LowFreqCost attribute) (Result attribute) module stacie stacie.conditioning stacie.cost stacie.cutoff stacie.estimate stacie.model stacie.plot stacie.spectrum stacie.synthetic stacie.utils N name (CutoffCriterion property) (CV2LCriterion property) (ExpPolyModel property) (LorentzModel property) (PadeModel property) (SpectrumModel property) ncut (Result property) ndofs (LowFreqCost attribute) (Spectrum attribute) neff (Result property) neglog_prior() (SpectrumModel method) nfreq (Spectrum property) npar (ExpPolyModel property) (PadeModel property) (SpectrumModel property) NpT nstep (Spectrum attribute) numer_degrees (LorentzModel attribute) (PadeModel attribute) NVE NVT P PadeModel (class in stacie.model) par_scales (ConditionedCost attribute) (ExpPolyModel property) (PadeModel property) (SpectrumModel property) plot_acint_estimates() (in module stacie.plot) plot_all_models() (in module stacie.plot) plot_cutoff_weight() (in module stacie.plot) plot_evals() (in module stacie.plot) plot_extras() (in module stacie.plot) plot_fitted_spectrum() (in module stacie.plot) plot_qq() (in module stacie.plot) plot_results() (in module stacie.plot) plot_sanity() (in module stacie.plot) plot_spectrum() (in module stacie.plot) plot_uncertainty() (in module stacie.plot) PositiveDefiniteError precondition (CV2LCriterion attribute) props (Result attribute) PSD R regularize (CV2LCriterion attribute) relerr_threshold (LorentzModel attribute) Result (class in stacie.estimate) rms() (in module stacie.plot) robust_dot() (in module stacie.utils) robust_posinv() (in module stacie.utils) S sample_nonlinear_pars() (SpectrumModel method) scales (SpectrumModel attribute) solve_linear() (ExpPolyModel method) (PadeModel method) (SpectrumModel method) Spectrum (class in stacie.spectrum) spectrum (Result attribute) SpectrumModel (class in stacie.model) split() (in module stacie.utils) stacie module stacie.conditioning module stacie.cost module stacie.cutoff module stacie.estimate module stacie.model module stacie.plot module stacie.spectrum module stacie.synthetic module stacie.utils module summarize_results() (in module stacie.estimate) switch_func() (in module stacie.cutoff) T time_fmt (UnitConfig attribute) time_unit (UnitConfig attribute) time_unit_str (UnitConfig attribute) timestep (Spectrum attribute) to_reduced() (ConditionedCost method) U Uncertainty UnitConfig (class in stacie.utils) V valid() (SpectrumModel method) variance (Spectrum attribute) varlogp_gamma() (in module stacie.cost) W weights (LowFreqCost attribute) which_invalid() (SpectrumModel method) without_zero_freq() (Spectrum method)