Index A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V | W A affine() (rebasis.Space method) apply() (rebasis.Estimate method) (rebasis.Fit method) (rebasis.Projection method) apply_along() (in module rebasis) B bases (rebasis.MeanTerm attribute) basis (rebasis.VarianceProfile attribute) boxes() (rebasis.Space class method) boxes_from_centers() (rebasis.Space class method) bsplines() (rebasis.Space class method) bsplines_clamped() (rebasis.Space class method) bsplines_periodic() (rebasis.Space class method) C centers (rebasis.Space property) coefficients (rebasis.VarianceProfile attribute) concatenate() (rebasis.Space class method) Covariance (class in rebasis) covariance (rebasis.CovarianceFit attribute) (rebasis.Estimate attribute) CovarianceDim (class in rebasis) CovarianceFit (class in rebasis) CovarianceSum (class in rebasis) cross (rebasis.Projection property) D deltas() (rebasis.Space class method) derivative() (rebasis.Space method) design (rebasis.Fit property) diagonal() (rebasis.Covariance method) (rebasis.CovarianceSum method) dims (rebasis.Estimate attribute) E Estimate (class in rebasis) estimate() (rebasis.CovarianceFit method) evaluate() (in module rebasis) (rebasis.Space method) F faddeeva_re() (in module rebasis) family (rebasis.CovarianceDim attribute) Fit (class in rebasis) fit() (in module rebasis) fit_covariance() (in module rebasis) (in module rebasis.xarray) fts() (rebasis.Space class method) FWHM_PER_SIGMA (in module rebasis) G gaussians() (rebasis.Space class method) gram() (in module rebasis) H harmonics() (rebasis.Space class method) hats() (rebasis.Space class method) history (rebasis.CovarianceFit attribute) I inner_products() (in module rebasis) integrals() (rebasis.Space method) K kind (rebasis.Space property) L length (rebasis.CovarianceDim attribute) log_likelihood (rebasis.CovarianceFit attribute) (rebasis.Estimate attribute) log_likelihood() (in module rebasis) lorentzians() (rebasis.Space class method) lower (rebasis.Space property) M matrix() (rebasis.Covariance method) (rebasis.CovarianceSum method) mean (rebasis.CovarianceFit attribute) (rebasis.Estimate attribute) mean_coefficients (rebasis.Estimate attribute) MeanTerm (class in rebasis) measure() (in module rebasis) measure_derivative() (in module rebasis) message (rebasis.CovarianceFit attribute) model (rebasis.Fit property) module rebasis N n_iterations (rebasis.CovarianceFit attribute) n_used (rebasis.CovarianceFit attribute) (rebasis.Estimate attribute) names (rebasis.Covariance property) (rebasis.CovarianceSum property) nugget (rebasis.CovarianceFit attribute) numeric_time() (in module rebasis.xarray) O offset (rebasis.Estimate attribute) optimal_estimate() (in module rebasis) (in module rebasis.xarray) P parameters (rebasis.CovarianceFit attribute) period (rebasis.CovarianceDim attribute) prior_std (rebasis.Estimate attribute) (rebasis.MeanTerm attribute) project() (in module rebasis) Projection (class in rebasis) pseudo_voigts() (rebasis.Space class method) R rebasis module reciprocal() (rebasis.Space method) rectangles() (rebasis.Space class method) regrid() (in module rebasis) (in module rebasis.xarray) regrid_nd() (in module rebasis) replace() (rebasis.Covariance method) S shape (rebasis.Fit property) (rebasis.Projection property) shifted() (rebasis.Space class method) SingularError smoothed_boxes() (rebasis.Space class method) Space (class in rebasis) std (rebasis.Estimate attribute) success (rebasis.CovarianceFit attribute) super_gaussians() (rebasis.Space class method) T tabulated() (rebasis.Space class method) take() (rebasis.Space method) to_dense() (rebasis.Fit method) (rebasis.Projection method) to_wavelength() (rebasis.Space method) to_wavenumber() (rebasis.Space method) trapezoids() (rebasis.Space class method) triangles() (rebasis.Space class method) U upper (rebasis.Space property) V values (rebasis.Estimate attribute) variance_profile (rebasis.CovarianceDim attribute) VarianceProfile (class in rebasis) voigts() (rebasis.Space class method) W weight_histogram() (rebasis.Estimate method) weights (rebasis.Estimate attribute)