Package: TSrepr
Type: Package
Title: Time Series Representations
Version: 1.1.0
Date: 2020-07-12
Authors@R: person("Peter", "Laurinec", email = "tsreprpackage@gmail.com",
  role = c("aut", "cre"), 
  comment = c(ORCID = "0000-0002-3501-8783"))
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.
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.12.12), MASS, quantreg, wavelets, mgcv, dtt
LinkingTo: Rcpp
RoxygenNote: 7.1.0
URL: https://petolau.github.io/package/,
        https://github.com/PetoLau/TSrepr/
BugReports: https://github.com/PetoLau/TSrepr/issues
Suggests: knitr, rmarkdown, ggplot2, data.table, moments, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-07-12 21:59:54 UTC; PeterLaurinec
Author: Peter Laurinec [aut, cre] (<https://orcid.org/0000-0002-3501-8783>)
Maintainer: Peter Laurinec <tsreprpackage@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-13 06:50:15 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 10:56:31 UTC; unix
Archs: TSrepr.so.dSYM
