DESCRIPTION

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