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Graph fitting functionality

KyPlot offers the following methods of fitting.

Parametric curve interpolation by revised Akima and Akima methods for 2d line/scatter/area graphs  NEW

Parametric curve interpolation by revised Akima and Akima methods, open B-spline and closed for B-spline curves for 3d line/scatter/area graphs.  NEW

Function plots (univariate and binominal functions, 2D and 3D parametric curves)

Nonlinear function fits, nonlinear least squares or maximum likelihood fit to user-given models (2D and 3D)

Polynomial regression (2D)

Piecewise polynomial interpolation (2D; Akima's methods)

Surface interpolation (3D; Akima's methods, Renka's methods, bicubic spline)

B-spline fits

(2D; interpolating or control point mode, as monovalent functions or as parametric curves)

Smoothing spline regression (2D) and thin plate smoothing spline regression (3D)

Local polynomial regression (2D and 3D)

Wavelet regression by thresholding (2D)

Fourier series regression (2D)

Local likelihood regression 

(2D and 3D; binominal, Poisson, gamma, negative binominal, Pearson and Huber families)

Penalized likelihood regression 

(2D and 3D; binominal, Poisson, gamma, negative binominal, Pearson and Huber families)

Kernel density estimation (2D and 3D)

Local likelihood density estimation (2D and 3D)

Penalized likelihood density estimation (2D and 3D)

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