# Tools for Handling Extraction of Features from Time Series

## Documentation for package ‘theft’ version 0.6.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

theft-package | Tools for Handling Extraction of Features from Time-series
calculate_features | Compute features on an input time series dataset
check_vector_quality | Check for presence of NAs and non-numerics in a vector
feature_list | All features available in theft in tidy format
init_theft | Communicate to R the Python virtual environment containing the relevant libraries for calculating features
install_python_pkgs | Download and install all the relevant Python packages into a target location
process_hctsa_file | Load in hctsa formatted MATLAB files of time series data into a tidy format ready for feature extraction
simData | Sample of randomly-generated time series to produce function tests and vignettes
theft | Tools for Handling Extraction of Features from Time-series