# Feature Extraction and Statistics for Time Series

## Documentation for package ‘feasts’ version 0.2.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

feasts-package | feasts: Feature Extraction and Statistics for Time Series
ACF | (Partial) Autocorrelation and Cross-Correlation Function Estimation
autoplot.tbl_cf | Auto- and Cross- Covariance and -Correlation plots
box_pierce | Portmanteau tests
CCF | (Partial) Autocorrelation and Cross-Correlation Function Estimation
classical_decomposition | Classical Seasonal Decomposition by Moving Averages
coef_hurst | Hurst coefficient
feasts | 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_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
ljung_box | Portmanteau tests
longest_flat_spot | Longest flat spot length
n_crossing_points | Number of crossing points
n_flat_spots | Longest flat spot length
PACF | (Partial) Autocorrelation and Cross-Correlation Function Estimation
portmanteau_tests | Portmanteau tests
scale_cf_lag | lagged datetime scales This set of scales defines new scales for lagged time structures.
scale_x_cf_lag | lagged datetime scales This set of scales defines new scales for lagged time structures.
shift_kl_max | Sliding window features
shift_level_max | Sliding window features
shift_var_max | Sliding window features
stat_arch_lm | ARCH LM Statistic
STL | Multiple seasonal decomposition by Loess
unitroot_kpss | Unit root tests
unitroot_ndiffs | Number of differences required for a stationary series
unitroot_nsdiffs | Number of differences required for a stationary series
unitroot_pp | Unit root tests
var_tiled_mean | Time series features based on tiled windows
var_tiled_var | Time series features based on tiled windows
X_13ARIMA_SEATS | X-13ARIMA-SEATS Seasonal Adjustment