fit_tbats_discreet: Fit a TBATS model to a logged version of a discrete time...
In nicholasjclark/mvforecast: Tools to fit, interrogate and forecast multivariate statistical and machine learning timeseries models
Description
Usage
Arguments
Value
View source: R/fit_tbats_discreet.R
Description
This function fits a TBATS model to a discrete time series that has been interpolated
and log(x + 1/6) transformed
Usage
1
fit_tbats_discreet(y, frequency, horizon)
Arguments
y
xts vector. The discrete outcome series to be modelled. NAs are allowed
frequency
integer. The seasonal frequency in y
horizon
integer. The horizon to forecast. Defaults to frequency
Value
A vector containing fitted values from the TBATS model of length(length(y)+horizon)
nicholasjclark/mvforecast documentation built on Dec. 22, 2021, 2:11 a.m.
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Description Usage Arguments Value
View source: R/fit_tbats_discreet.R
Description
This function fits a TBATS model to a discrete time series that has been interpolated and log(x + 1/6) transformed
Usage
1 | fit_tbats_discreet(y, frequency, horizon)
|
Arguments
y |
|
frequency |
|
horizon |
|
Value
A vector containing fitted values from the TBATS model of length(length(y)+horizon)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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