Hi R enthusiasts, I am happy to announce a new package available on CRAN: fastTS (https://cran.r-project.org/web/packages/fastTS/). fastTS is especially useful for large time series with exogenous features and/or complex seasonality (i.e. with multiple modes), allowing for possibly high-dimensional feature sets. The method can also facilitate inference on exogenous features, conditional on a series' autoregressive structure. The regularization-based method is considerably faster than competitors, while often producing more accurate predictions. See our open-access publication for more information: https://doi.org/10.1177/1471082X231225307
The package has several vignettes, one of which is an detailed walkthrough of an application to an (included) data set consisting of an hourly series of arrivals into the University of Iowa Emergency Department with concurrent local temperature. If you encounter any issues or would like to make contributions, please do so via the package's GitHub page: https://github.com/petersonR/fastTS Best, Ryan Ryan Peterson Assistant Professor Department of Biostatistics and Informatics University of Colorado - Anschutz Medical Campus [[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.
