Man pages for feasts
Feature Extraction and Statistics for Time Series
| ACF | (Partial) Autocorrelation and Cross-Correlation Function... |
| autoplot.tbl_cf | Auto- and Cross- Covariance and -Correlation plots |
| classical_decomposition | Classical Seasonal Decomposition by Moving Averages |
| coef_hurst | Hurst coefficient |
| cointegration_johansen | Johansen Procedure for VAR |
| cointegration_phillips_ouliaris | Phillips and Ouliaris Cointegration Test |
| feasts-package | feasts: Feature Extraction and Statistics for Time Series |
| feat_acf | Autocorrelation-based features |
| feat_intermittent | Intermittency features |
| feat_pacf | Partial autocorrelation-based features |
| feat_spectral | Spectral features of a time series |
| feat_stl | STL features |
| generate.stl_decomposition | Generate block bootstrapped series from an STL decomposition |
| gg_arma | Plot characteristic ARMA roots |
| gg_irf | Plot impulse response functions |
| gg_lag | Lag plots |
| gg_season | Seasonal plot |
| gg_subseries | Seasonal subseries plots |
| gg_tsdisplay | Ensemble of time series displays |
| gg_tsresiduals | Ensemble of time series residual diagnostic plots |
| guerrero | Guerrero's method for Box Cox lambda selection |
| longest_flat_spot | Longest flat spot length |
| n_crossing_points | Number of crossing points |
| portmanteau_tests | Portmanteau tests |
| reexports | Objects exported from other packages |
| scale_cf_lag | lagged datetime scales This set of scales defines new scales... |
| shift_level_max | Sliding window features |
| stat_arch_lm | ARCH LM Statistic |
| STL | Multiple seasonal decomposition by Loess |
| tile_features | Time series features based on tiled windows |
| unitroot | Unit root tests |
| unitroot_ndiffs | Number of differences required for a stationary series |
| X_13ARIMA_SEATS | X-13ARIMA-SEATS Seasonal Adjustment |
