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HistDAWass (version 1.0.4)

HTS.exponential.smoothing: Smoothing with exponential smoothing of a histogram time series

Description

(Beta verson of) Extends theexponential smoothing of a time series to a histogram time series,using L2 Wasserstein distance.

Usage

HTS.exponential.smoothing(HTS, alpha = 0.9)

Arguments

HTS

A HTS object (a histogram time series).

alpha

a number between 0 and 1 for exponential smoothing

Value

a list with the results of the smoothing procedure.

Slots

smoothing.alpha

the alpha parameter

AveragedHTS

The smoothed HTS

Examples

Run this code
# NOT RUN {
mov.expo.smooth=HTS.exponential.smoothing(HTS=RetHTS, alpha=0.8)
# a show method for HTS must be implemented you can see it using
# str(mov.expo.smooth$AveragedHTS)
# }

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