LPStimeSeries: Learned Pattern Similarity and Representation for Time Series

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: 1.0-2
Depends: R (≥ 2.5.0), stats
Suggests: RColorBrewer
Published: 2014-03-23
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_1.0-2.tar.gz
Windows binaries: r-devel: LPStimeSeries_1.0-2.zip, r-release: LPStimeSeries_1.0-2.zip, r-oldrel: LPStimeSeries_1.0-2.zip
OS X Snow Leopard binaries: r-release: LPStimeSeries_1.0-2.tgz, r-oldrel: LPStimeSeries_1.0-2.tgz
OS X Mavericks binaries: r-release: LPStimeSeries_1.0-2.tgz
Old sources: LPStimeSeries archive