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Note: this routine is scheduled for withdrawal at Mark 27, see Advice on Replacement Calls for Withdrawn/Superseded Routines for further information.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