do_initial_transform: Do an initial transformation of time series data.
In reichlab/sarima-utils: SARIMA Models with Transformations and Seasonal Differencing
Description
Usage
Arguments
Value
Description
Do an initial transformation of time series data.
Usage
1
do_initial_transform(y, transformation, bc_params)
Arguments
y
a univariate time series or numeric vector.
transformation
character specifying transformation type:
"box-cox", "log", "forecast-box-cox", or "none".
bc_params
(required if transformation is "box-cox"). Parameters for
the Box-Cox transformation. bc_params$lambda should be the result of a
call to car::powerTransform(y + bc_params$gamma, family = "bcPower")
Value
a transformed object of the same class as y
reichlab/sarima-utils documentation built on March 21, 2020, 3:45 a.m.
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Description Usage Arguments Value
Description
Do an initial transformation of time series data.
Usage
1 | do_initial_transform(y, transformation, bc_params)
|
Arguments
y |
a univariate time series or numeric vector. |
transformation |
character specifying transformation type: "box-cox", "log", "forecast-box-cox", or "none". |
bc_params |
(required if transformation is "box-cox"). Parameters for the Box-Cox transformation. bc_params$lambda should be the result of a call to car::powerTransform(y + bc_params$gamma, family = "bcPower") |
Value
a transformed object of the same class as y
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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