Decompose a time series into seasonal, trend, and remainder components using an implementation of Seasonal Decomposition of Time Series by Loess (STL) that provides several enhancements over the STL method in the stats package. These enhancements include handling missing values, providing higher order (quadratic) loess smoothing with automated parameter choices, frequency component smoothing beyond the seasonal and trend components, and some basic plot methods for diagnostics.
|Author||Ryan Hafen [aut, cre]|
|Date of publication||2016-01-06 10:42:19|
|Maintainer||Ryan Hafen <[email protected]>|
|License||BSD_3_clause + file LICENSE|
|Package repository||View on CRAN|
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