Interpolation and Prediction Functions |
Interpolation is the process of finding intermediate values in data by fitting appropriate functions (typically polynomials) piece-wise through adjacent data points. This method contrasts with regression, in which a single function is fit, in a least-squares sense, through all data points.
bspline, interp B-spline interpolation with user-supplied knots.
cspline, pspline, lspline, interp Cubic spline interpolation in one and two dimensions, with cubic, parabolic, and linear end conditions.
linterp Linear interpolation.
predict Predicted values from previous values.