DESCRIPTION

Package: tsfeaturex
Version: 0.4.1
Date: 2019-05-20
Title: An R Package for Automating Time Series Feature Extraction
Authors@R: person("Nelson", "Roque", email = "nelsonroquejr@gmail.com", role = c("aut", "cre"))
Description: 'Inspired by tsfresh (github: blue-yonder), this package calculate numerous features on any time series. Grouping variables can be passed in as a vector of strings, refering the column name to group by (for example, bin number, id number, treatment condition). As of version 0.3.6, long format data is expected. Future releases will include function arguments for data shape, and include convenience functions for wrangling the data into shape. For more information, see: https://github.com/nelsonroque/tsfeaturex. Read our manuscript published in the Journal of Open Source Software: http://joss.theoj.org/papers/10.21105/joss.01279'
Imports: e1071, entropy, Langevin, Hmisc, forecast, stats, zoo, viridis, psych, reshape2
Depends: R (>= 3.4.0), tidyverse
License: GNU General Public License
URL: https://github.com/nelsonroque/tsfeaturex
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: 
    testthat (>= 2.1.0)