timetk: A Tool Kit for Working with Time Series in R

Easy visualization, wrangling, and preprocessing of time series data for forecasting and machine learning prediction. Methods discussed herein are commonplace in machine learning, and have been cited in various literature. Refer to "Calendar Effects" in papers such as Taieb, Souhaib Ben. "Machine learning strategies for multi-step-ahead time series forecasting." Universit Libre de Bruxelles, Belgium (2014): 75-86. <http://souhaib-bentaieb.com/pdf/2014_phd.pdf>.

Package details

AuthorMatt Dancho [aut, cre], Davis Vaughan [aut]
MaintainerMatt Dancho <mdancho@business-science.io>
LicenseGPL (>= 3)
Version1.0.0
URL https://github.com/business-science/timetk
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("timetk")

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timetk documentation built on April 20, 2020, 1:05 a.m.