Learned Pattern Similarity (LPS) for time series. This package is based on the 'randomForest' package by Andy Liaw. LPS aims at finding time series patterns to compute the similarity.
| Version: | 1.0-4 |
| Depends: | R (≥ 2.5.0) |
| Imports: | RColorBrewer |
| Published: | 2015-01-09 |
| Author: | Learned Pattern Similarity (LPS) for time series by Mustafa Gokce Baydogan, Ensemble of regression trees by Andy Liaw and Matthew Wiener. |
| Maintainer: | Mustafa Gokce Baydogan <baydoganmustafa at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.mustafabaydogan.com/learned-pattern-similarity-lps.html |
| NeedsCompilation: | yes |
| Citation: | LPStimeSeries citation info |
| Materials: | NEWS |
| In views: | TimeSeries |
| CRAN checks: | LPStimeSeries results |
| Reference manual: | LPStimeSeries.pdf |
| Package source: | LPStimeSeries_1.0-4.tar.gz |
| Windows binaries: | r-devel: LPStimeSeries_1.0-4.zip, r-release: LPStimeSeries_1.0-4.zip, r-oldrel: LPStimeSeries_1.0-4.zip |
| OS X Snow Leopard binaries: | r-release: LPStimeSeries_1.0-4.tgz, r-oldrel: LPStimeSeries_1.0-4.tgz |
| OS X Mavericks binaries: | r-release: LPStimeSeries_1.0-4.tgz |
| Old sources: | LPStimeSeries archive |