tsfeatures: Time Series Feature Extraction

Canonical link: https://rscholar.com/pkg/tsfeatures

Rob Hyndman • Yanfei Kang • Pablo Montero-Manso • Mitchell O'Hara-Wild • Thiyanga Talagala • Earo Wang • Yangzhuoran Yang • Souhaib Ben Taieb • Cao Hanqing • D K Lake • Nikolay Laptev • J R Moorman • Bohan Zhang • View description and downloads View dependencies GitHub project

2019 Published

0 Citations

13 Authors

4 Revisions

1.1.1 Version

GPL-3 License

Referenced by ⇅	Year
gratis: Generating Time Series with Diverse and Controllable Characteristics (Version 1.0.8)	2020
mlmts: Machine Learning Algorithms for Multivariate Time Series (Version 1.1.2)	2022
gratis Characteristics: (Version )	0
mlr: Machine Learning in R (Version 2.19.3)	2013
mlr3fda: Extending 'mlr3' to Functional Data Analysis (Version 0.7.2)	2024
mlr3forecast: Extending 'mlr3' to Time Series Forecasting (Version 0.2.0)	2026
seer: Feature-Based Forecast Model Selection (Version 1.1.8)	2020
theft: Tools for Handling Extraction of Features from Time Series (Version 0.8.4)	2022
timetk: A Tool Kit for Working with Time Series (Version 2.9.1)	2017

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.