boxcox: Box-Cox Transformation

In TSSS: Time Series Analysis with State Space Model

Box-Cox Transformation

Description

Compute Box-Cox transformation and find an optimal lambda with minimum AIC.

Usage

boxcox(y, plot = TRUE, ...)

Arguments

y	a univariate time series.
plot	logical. If TRUE (default), original data and transformed data with minimum AIC are plotted.
...	graphical arguments passed to plot.boxcox.

Value

An object of class "boxcox", which is a list with the following components:

mean	mean of original data.
var	variance of original data.
aic	AIC of the model with respect to the original data.
llkhood	log-likelihood of the model with respect to the original data.
z	transformed data with the AIC best lambda.
aic.z	AIC of the model with respect to the transformed data.
llkhood.z	log-likelihood of the model with respect to the transformed data.

References

Kitagawa, G. (2020) Introduction to Time Series Modeling with Applications in R. Chapman & Hall/CRC.

Examples

# Sunspot number data
data(Sunspot)
boxcox(Sunspot)

# Wholesale hardware data
data(WHARD)
boxcox(WHARD)

TSSS documentation built on Sept. 29, 2023, 9:07 a.m.