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TSrepr  

Time Series Representations
View on CRAN: Click here


Download and install TSrepr package within the R console
Install from CRAN:
install.packages("TSrepr")

Install from Github:
library("remotes")
install_github("cran/TSrepr")

Install by package version:
library("remotes")
install_version("TSrepr", "1.1.0")



Attach the package and use:
library("TSrepr")
Maintained by
Peter Laurinec
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-26
Latest Update: 2020-07-13
Description:
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.
How to cite:
Peter Laurinec (2018). TSrepr: Time Series Representations. R package version 1.1.0, https://cran.r-project.org/web/packages/TSrepr. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:27), 1.0.0 (2018-01-26 13:12), 1.0.1 (2018-06-01 14:30), 1.0.2 (2018-11-22 12:10), 1.0.3 (2019-05-31 12:00), 1.0.4 (2020-03-25 20:20)
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Complete documentation for TSrepr
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