ts_fil_ses: Simple Exponential Smoothing

View source: R/ts_fil_ses.R

ts_fil_sesR Documentation

Simple Exponential Smoothing

Description

This code implements simple exponential smoothing on a time series. Simple exponential smoothing is a smoothing technique that can include or exclude trend and seasonality components in time series forecasting, depending on the specified parameters.

Usage

ts_fil_ses(gamma = FALSE)

Arguments

gamma

If TRUE, enables the gamma seasonality component.

Value

a ts_fil_ses obj.

Examples

# time series with noise
library(daltoolbox)
data(tsd)
tsd$y[9] <- 2*tsd$y[9]

# filter
filter <- ts_fil_ses()
filter <- fit(filter, tsd$y)
y <- transform(filter, tsd$y)

# plot
plot_ts_pred(y=tsd$y, yadj=y)

tspredit documentation built on June 22, 2025, 5:07 p.m.