| 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_kats | Download and install Kats from Python into a new virtual environment |
| install_python_pkgs | Download and install tsfresh, TSFEL, and Kats from Python into a new virtual environment |
| install_tsfel | Download and install TSFEL from Python into a new virtual environment |
| install_tsfresh | Download and install tsfresh from Python into a new virtual environment |
| 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 |