View source: R/ATA_Decomposition.r
ATA.Decomposition | R Documentation |
Automatic seasonal decomposition for ATA Method is called ATA.Decomposition
function in ATAforecasting package.
The function returns seasonally adjusted data constructed by removing the seasonal component. The methodology is fully automatic.
The ATA.Decomposition
function works with many different types of inputs.
ATA.Decomposition(input, s.model, s.type, s.frequency, seas_attr_set)
input |
It must be |
s.model |
A string identifying method for seasonal decomposition. If NULL, "decomp" method is default. c("none", "decomp", "stl", "stlplus", "tbats", "stR") phrases of methods denote.
|
s.type |
A one-character string identifying method for the seasonal component framework. If NULL, "M" is default. The letter "A" for additive model, the letter "M" for multiplicative model. |
s.frequency |
Value(s) of seasonal periodicity. If |
seas_attr_set |
Assign from |
Seasonal components of the univariate time series.
ATA.Decomposition
is a list containing at least the following elements:
AdjustedX |
Deseasonalized data |
SeasIndex |
Particular weights of seasonality given cycle/frequency |
SeasActual |
Seasonality given original data |
SeasType |
Seasonal decomposition technique |
Ali Sabri Taylan and Hanife Taylan Selamlar
#'\insertRefshishkin1967ATAforecasting
#'\insertRefdagum1988ATAforecasting
#'\insertRefcleveland1990stlATAforecasting
#'\insertRefhafen2010localATAforecasting
#'\insertRefdelivera2011ATAforecasting
#'\insertRefdokumentov2015ATAforecasting
#'\insertRefdokumentov2020strATAforecasting
#'\insertRefmonsell2003towardATAforecasting
#'\insertRefmonsell2007xATAforecasting
#'\insertRefartseasonal2018ATAforecasting
stl
, decompose
, seas
,
tbats
, stlplus
, AutoSTR
.
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