Package: TSrepr
Type: Package
Title: Time Series Representations
Version: 1.0.0
Date: 2018-01-26
Authors@R: person("Peter", "Laurinec", email = "tsreprpackage@gmail.com",
  role = c("aut", "cre"))
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 min-max and z-score normalisations, 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: 6.0.1
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
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-01-26 11:49:30 UTC; Peter
Author: Peter Laurinec [aut, cre]
Maintainer: Peter Laurinec <tsreprpackage@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-26 12:12:21 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 16:49:43 UTC; windows
Archs: i386, x64
