Dear Researchers, Have a look over updated *R package PSF*. 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.
*CRAN:* *https://cran.r-project.org/web/packages/PSF/index.html <https://cran.r-project.org/web/packages/PSF/index.html>* *GitHub:* https://github.com/neerajdhanraj/PSF *How to use:* https://www.researchgate.net/publication/304131481_PSF_ Introduction_to_R_Package_for_Pattern_Sequence_Based_Forecasting_Algorithm Also go through the modification in terms of seasonal dataset. https://www.researchgate.net/publication/304580701_ Introduction_of_seasonality_concept_in_PSF_algorithm_to_ improve_univariate_time_series_predictions For further details *contact me* at: http://www.neerajbokde.com/ -- Regards , Neeraj Dhanraj Bokde M.E. Embedded System Birla Institute of Technology & Science, Pilani Pilani Campus , Rajasthan, India Phone: *+91 9028415974 <%2B91%209028415974>* Email: h2012...@pilani.bits-pilani.ac.in; *neerajdhan...@gmail.com <neerajdhan...@gmail.com>* Website: http://www.neerajbokde.com [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
