> For the complete documentation index, see [llms.txt](https://time-series-features.gitbook.io/time-series-analysis-tools/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://time-series-features.gitbook.io/time-series-analysis-tools/highly-comparative-toolkits/theft.md).

# theft

Tools for Handling Extraction of Features from Time series.

## Original Paper 📕

Feature-Based Time-Series Analysis in R using the theft Package.

* 📙 [*<mark style="color:orange;">arXiv preprint</mark>* ](https://arxiv.org/abs/2208.06146)<mark style="color:orange;">(2022).</mark>

`theft` is a software package for R that facilitates user-friendly access to a consistent interface for the extraction of time-series features. The package provides a single point of access to >1200 time-series features from a range of existing R and Python packages.


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