https://github.com/neerajdhanraj/PSF
Tip revision: e48a2345367e1354329d160ba874c421cf0a36fc authored by Neeraj Bokde on 15 December 2016, 06:24:42 UTC
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DESCRIPTION
Package: PSF
Type: Package
Title: Forecasting of univariate time series using the Pattern
Sequence-based Forecasting (PSF) algorithm
Version: 0.3
Date: 2016-08-13
Author: Neeraj Bokde, Gualberto Asencio-Cortes and Francisco Martinez-Alvarez
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>
Description: Pattern Sequence Based Forecasting (PSF) takes univariate
time series data as input and assist to forecast its future values.
This algorithm forecasts the behavior of time series
based on similarity of pattern sequences. Initially, clustering is done with the
labeling of samples from database. The labels associated with samples are then
used for forecasting the future behaviour of time series data. The further
technical details and references regarding PSF are discussed in Vignette.
BugReports: https://github.com/neerajdhanraj/PSF/issues
URL: http://www.neerajbokde.com/cran/psf
License: GPL (>= 2)
Imports: data.table, cluster, knitr, forecast
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-18 18:26:59 UTC; gualberto