shift_level_max: Sliding window features

In feasts: Feature Extraction and Statistics for Time Series

Sliding window features

Description

Computes feature of a time series based on sliding (overlapping) windows. shift_level_max finds the largest mean shift between two consecutive windows. shift_var_max finds the largest var shift between two consecutive windows. shift_kl_max finds the largest shift in Kulback-Leibler divergence between two consecutive windows.

Usage

shift_level_max(x, .size = NULL, .period = 1)

shift_var_max(x, .size = NULL, .period = 1)

shift_kl_max(x, .size = NULL, .period = 1)

Arguments

x	a univariate time series
.size	size of sliding window, if NULL .size will be automatically chosen using .period
.period	The seasonal period (optional)

Details

Computes the largest level shift and largest variance shift in sliding mean calculations

Value

A vector of 2 values: the size of the shift, and the time index of the shift.

Author(s)

Earo Wang, Rob J Hyndman and Mitchell O'Hara-Wild

feasts documentation built on March 31, 2023, 11:49 p.m.