Function reference • theft

All functions

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 theft-package: Tools for Handling Extraction of Features from Time-series