Dear All, Have a look at updated version of PSF package for time series forecasting. I am glad to inform you, it gets published in R Journal, too. Pattern Sequence Based Forecasting (PSF) takes univariate time series data as input and assist in forecasting its future values. This algorithm forecasts the behavior of time series based on similarity of pattern sequences. Initially, clustering is done with the labelling of samples from a 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 Link: https://cran.r-project.org/package=PSF Publication Link: https://www.researchgate.net/publication/ 304131481_PSF_Introduction_to_R_Package_for_Pattern_ Sequence_Based_Forecasting_Algorithm Please feel free to contact me with suggestions, bug reports, criticisms, etc. -- Regards , *Neeraj Dhanraj Bokde * *Research Scholar (PhD)* *Visvesvaraya National Institute of Technology ,* Nagpur Maharashtra, India Phone: *+91 9028415974* Email: h2012105 at pilani.bits-pilani.ac.in; *neerajdhanraj at gmail.com <neerajdhanraj at gmail.com>* Website: http://www.neerajbokde.com [[alternative HTML version deleted]]