| acf_features | Autocorrelation-based features | 
| ac_9 | Autocorrelation at lag 9. Included for completion and consistency. | 
| arch_stat | ARCH LM Statistic | 
| as.list.mts | Convert mts object to list of time series | 
| autocorr_features | The autocorrelation feature set from software package 'hctsa' | 
| binarize_mean | Converts an input vector into a binarized version from software package 'hctsa' | 
| compengine | CompEngine feature set | 
| crossing_points | Number of crossing points | 
| dist_features | The distribution feature set from software package 'hctsa' | 
| embed2_incircle | Points inside a given circular boundary in a 2-d embedding space from software package 'hctsa' | 
| entropy | Spectral entropy of a time series | 
| firstmin_ac | Time of first minimum in the autocorrelation function from software package 'hctsa' | 
| firstzero_ac | The first zero crossing of the autocorrelation function from software package 'hctsa' | 
| flat_spots | Longest flat spot | 
| fluctanal_prop_r1 | Implements fluctuation analysis from software package 'hctsa' | 
| heterogeneity | Heterogeneity coefficients | 
| histogram_mode | Mode of a data vector from software package 'hctsa' | 
| holt_parameters | Parameter estimates of Holt's linear trend method | 
| hurst | Hurst coefficient | 
| hw_parameters | Parameter estimates of Holt's linear trend method | 
| localsimple_taures | The first zero crossing of the autocorrelation function of the residuals from Simple local time-series forecasting from software package 'hctsa' | 
| lumpiness | Time series features based on tiled windows | 
| max_kl_shift | Time series features based on sliding windows | 
| max_level_shift | Time series features based on sliding windows | 
| max_var_shift | Time series features based on sliding windows | 
| motiftwo_entro3 | Local motifs in a binary symbolization of the time series from software package 'hctsa' | 
| nonlinearity | Nonlinearity coefficient | 
| outlierinclude_mdrmd | How median depend on distributional outliers from software package 'hctsa' | 
| pacf_features | Partial autocorrelation-based features | 
| pred_features | The prediction feature set from software package 'hctsa' | 
| sampenc | Second Sample Entropy from software package 'hctsa' | 
| sampen_first | Second Sample Entropy of a time series from software package 'hctsa' | 
| scal_features | The scaling feature set from software package 'hctsa' | 
| spreadrandomlocal_meantaul | Bootstrap-based stationarity measure from software package 'hctsa' | 
| stability | Time series features based on tiled windows | 
| station_features | The stationarity feature set from software package 'hctsa' | 
| std1st_der | Standard deviation of the first derivative of the time series from software package 'hctsa' | 
| stl_features | Strength of trend and seasonality of a time series | 
| trev_num | Normalized nonlinear autocorrelation, the numerator of the trev function of a time series from software package 'hctsa' | 
| tsfeatures | Time series feature matrix | 
| unitroot_kpss | Unit Root Test Statistics | 
| unitroot_pp | Unit Root Test Statistics | 
| walker_propcross | Simulates a hypothetical walker moving through the time domain from software package 'hctsa' | 
| yahoo_data | Yahoo server metrics | 
| zero_proportion | Proportion of zeros |