dataDTWBI

<p>Query and ref1 are two dephased sigmoidal signals.
Ref2 presents a linear decrease.
Ref3 and ref4 are constant signals of value 3 and 0 respectively.
Ref5 is similar to the query with small noise added.</p>

datasets

Functions to impute large gaps within time series based on Dynamic Time Warping methods. It contains all required functions to create large missing consecutive values within time series and to fill them, according to the paper Phan et al. (2017), <DOI:10.1016/j.patrec.2017.08.019>. Performance criteria are added to compare similarity between two signals (query and reference).

POISSON-CAILLAULT Emilie

DTWBI

Imputation of Time Series Based on Dynamic Time Warping

dataDTWBI function

<p>A data frame with six variables: <code>query</code>, <code>ref1</code>,
  <code>ref2</code>, <code>ref3</code>, <code>ref4</code> and <code>ref5</code>.</p>

dataDTWBI: Six univariate signals as example for DTWBI package

Description

Usage

Arguments

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