Extract features from time series using moving windows of regression fits for continuous variables and by summarizing the duration and transistion features of discrete variables. This is a high-speed implementation of the feature extraction methods of the Morning Report Algorithms developed by Brett Amidan and Tom Ferryman.
Package details |
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| Author | Landon Sego, Lucas Tate |
| Maintainer | Landon Sego <Landon.Sego@pnnl.gov> |
| License | file LICENSE |
| Version | 0.1.7 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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