This manual relates to an old release of the Library.
The documentation for the current release is also available on this site.

NAG Library Chapter Contents

G10 (smooth)
Smoothing in Statistics


G10 (smooth) Chapter Introduction – a description of the Chapter and an overview of the algorithms available

Routine
Name
Mark of
Introduction

Purpose
g10abf
Example Text
Example Data
Example Plot
16 nagf_smooth_fit_spline
Fit cubic smoothing spline, smoothing parameter given
g10acf
Example Text
Example Data
16 nagf_smooth_fit_spline_parest
Fit cubic smoothing spline, smoothing parameter estimated
g10baf
Example Text
Example Data
Example Plot
16 nagf_smooth_withdraw_kerndens_gauss
Kernel density estimate using Gaussian kernel
Note: this routine is scheduled for withdrawal at Mark 27, see Advice on Replacement Calls for Withdrawn/Superseded Routines for further information.
g10bbf
Example Text
Example Data
Example Plot
25 nagf_smooth_kerndens_gauss
Kernel density estimate using Gaussian kernel (thread safe)
g10caf
Example Text
Example Data
Example Plot
16 nagf_smooth_data_runningmedian
Compute smoothed data sequence using running median smoothers
g10zaf
Example Text
Example Data
16 nagf_smooth_data_order
Reorder data to give ordered distinct observations