Computes the operator matrices for local polynomial smoothing methods (loess and STL) applied to time series (or any equally-spaced design setting). Includes capabilities for model selection, prediction, and confidence intervals.
Package details |
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Author | Ryan Hafen <rhafen@alumni.purdue.edu> |
Maintainer | Ryan Hafen <rhafen@alumni.purdue.edu> |
License | GPL (version 2 or later) |
Version | 1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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