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
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2026-06-10 09:01:28 UTC; root
Repository: https://neerajdhanraj.r-universe.dev
Date/Publication: 2016-12-15 06:24:42 UTC
RemoteUrl: https://github.com/neerajdhanraj/psf
RemoteRef: HEAD
RemoteSha: e48a2345367e1354329d160ba874c421cf0a36fc