CRAN/E | DTWBI

DTWBI

Imputation of Time Series Based on Dynamic Time Warping

Installation

About

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).

Citation DTWBI citation info
mawenzi.univ-littoral.fr/DTWBI/

Key Metrics

Version 1.1
R ≥ 3.0.0
Published 2018-07-11 2107 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks DTWBI results

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Maintainer

Maintainer

Emilie Poisson-Caillault

emilie.poisson@univ-littoral.fr

Authors

Camille Dezecache
T. T. Hong Phan
Emilie Poisson-Caillault

Material

Reference manual
Package source

In Views

MissingData

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DTWBI archive

Depends

R ≥ 3.0.0

Imports

dtw
rlist
stats
e1071
entropy
lsa

Reverse Imports

DTWUMI