BoxCox: Box Cox Transformation
In robjhyndman/hdrcde: Highest Density Regions and Conditional Density Estimation
BoxCox R Documentation
Box Cox Transformation
Description
BoxCox() returns a transformation of the input variable using a Box-Cox
transformation. InvBoxCox() reverses the transformation.
Usage
BoxCox(x, lambda)
Arguments
x
a numeric vector or time series
lambda
transformation parameter
Details
The Box-Cox transformation is given by
f_\lambda(x) =\frac{x^\lambda -
1}{\lambda}
if
\lambda\ne0. For \lambda=0,
f_0(x) = \log(x).
Value
a numeric vector of the same length as x.
Author(s)
Rob J Hyndman
References
Box, G. E. P. and Cox, D. R. (1964) An analysis of
transformations. JRSS B 26 211–246.
robjhyndman/hdrcde documentation built on July 31, 2023, 2:14 a.m.
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| BoxCox | R Documentation |
Box Cox Transformation
Description
BoxCox() returns a transformation of the input variable using a Box-Cox transformation. InvBoxCox() reverses the transformation.
Usage
BoxCox(x, lambda)
Arguments
x |
a numeric vector or time series |
lambda |
transformation parameter |
Details
The Box-Cox transformation is given by
f_\lambda(x) =\frac{x^\lambda -
1}{\lambda}
if
\lambda\ne0. For \lambda=0,
f_0(x) = \log(x).
Value
a numeric vector of the same length as x.
Author(s)
Rob J Hyndman
References
Box, G. E. P. and Cox, D. R. (1964) An analysis of transformations. JRSS B 26 211–246.
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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