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
Repository: https://petolau.r-universe.dev
Date/Publication: 2020-07-12 17:51:29 UTC
RemoteUrl: https://github.com/petolau/tsrepr
RemoteRef: HEAD
RemoteSha: 1dd7ea8064b0347f0e9097ee6014d8395973eeef
NeedsCompilation: yes
Packaged: 2026-07-04 20:19:07 UTC; root
Author: Peter Laurinec [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-3501-8783>)
Maintainer: Peter Laurinec <tsreprpackage@gmail.com>