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
