Package: otsfeatures
Type: Package
Title: Ordinal Time Series Analysis
Version: 1.0.0
Authors@R: c(
    person("Angel", "Lopez-Oriona", email = "oriona38@hotmail.com", 
    role = c("aut", "cre")),
    person("Jose", "A. Vilar", role = "aut"))
Description: An implementation of several functions for feature extraction in 
    ordinal time series datasets. Specifically, some of the features proposed by
    Weiss (2019) <doi:10.1080/01621459.2019.1604370> can be computed.  
    These features can be used to perform inferential tasks or to feed machine
    learning algorithms for ordinal time series, among others. The package also includes some
    interesting datasets containing financial time series. Practitioners from a 
    broad variety of fields could benefit from the general framework provided 
    by 'otsfeatures'.
License: GPL-2
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.0.0)
RoxygenNote: 7.1.2
Imports: ggplot2, astsa, latex2exp, Rdpack, Bolstad2
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2023-02-28 19:04:18 UTC; angel
Author: Angel Lopez-Oriona [aut, cre],
  Jose A. Vilar [aut]
Maintainer: Angel Lopez-Oriona <oriona38@hotmail.com>
Repository: CRAN
Date/Publication: 2023-03-01 10:40:02 UTC
Built: R 4.6.0; ; 2026-04-25 17:39:40 UTC; unix
