R: Optimal deseasonalization for geophysical time series using...
deseasonalize-package
R Documentation
Optimal deseasonalization for geophysical time series using AR fitting
Description
Deseasonalize daily or monthly time series.
An harmonic regression is fit to the data to estimate the
seasonal means and standard deviations.
The number of terms in the harmonic regression may be
determined using the BIC or generalized AIC.
Details
Package:
deseasonalize
Type:
Package
Version:
1.35
Date:
2013-04-10
License:
GPL (>= 2.10)
LazyLoad:
yes
LazyData:
yes
The only function is ds.
For how to use the function ds, see the examples provided with the datasets
Saugeen,
and
SaugeenDay.
A dynamic time series plot for the Saugeen daily riverflow is available
in the subdirectory /inst/doc.
Author(s)
A. I. McLeod and Hyukjun Gweon
<aimcleod@uwo.ca>
References
K. W. Hipel and A. I. McLeod (1994).
Time Series Modelling of Water Resources and Environmental Systems.
Elsevier.
McLeod, A.I. and Zhang, Y. (2008b).
Improved Subset Autoregression: With R Package.
Journal of Statistical Software.