Time Series Representations R package TSrepr version 1.1.0 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also various normalisation methods (min-max, z-score, Box-Cox, Yeo-Johnson), and forecasting accuracy measures are implemented. Software Depends: R (>= 2.10) Imports: Rcpp (>= 0.12.12), MASS, quantreg, wavelets, mgcv, dtt LinkingTo: Rcpp Suggests: knitr, rmarkdown, ggplot2, data.table, moments, testthat Peter Laurinec <tsreprpackage@gmail.com> Comprehensive R Archive Network (CRAN) Peter Laurinec [aut, cre] (ORCID: <https://orcid.org/0000-0002-3501-8783>) GPL-3 file LICENSE (https://CRAN.R-project.org/package=TSrepr/LICENSE) 2020-07-13 application/tgz https://CRAN.R-project.org/package=TSrepr doi:10.32614/CRAN.package.TSrepr