Package: PSF
Type: Package
Title: Forecasting of Univariate Time Series Using the Pattern
        Sequence-Based Forecasting (PSF) Algorithm
Version: 0.5
Date: 2022-04-30
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: https://www.neerajbokde.in/viggnette/2021-10-13-PSF/
License: GPL (>= 2)
Imports: data.table, cluster
VignetteBuilder: knitr
RoxygenNote: 7.1.2
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2022-04-30 17:29:00 UTC; mayur
Repository: CRAN
Date/Publication: 2022-05-01 14:20:10 UTC
Suggests: knitr, rmarkdown, forecast
Built: R 4.6.0; ; 2026-04-25 18:09:26 UTC; unix
