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DTWBI  

Imputation of Time Series Based on Dynamic Time Warping
View on CRAN: Click here


Download and install DTWBI package within the R console
Install from CRAN:
install.packages("DTWBI")

Install from Github:
library("remotes")
install_github("cran/DTWBI")

Install by package version:
library("remotes")
install_version("DTWBI", "1.2")



Attach the package and use:
library("DTWBI")
Maintained by
Emilie Poisson-Caillault
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-29
Latest Update: 2018-07-11
Description:
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), . Performance criteria are added to compare similarity between two signals (query and reference).
How to cite:
Emilie Poisson-Caillault (2018). DTWBI: Imputation of Time Series Based on Dynamic Time Warping. R package version 1.2, https://cran.r-project.org/web/packages/DTWBI. Accessed 06 Oct. 2026.
Previous versions and publish date:
1.0 (2018-05-29 10:38), 1.1 (2018-07-11 12:50), (2026-09-09 10:50)
Other packages that cited DTWBI R package
View DTWBI citation profile
Other R packages that DTWBI depends, imports, suggests or enhances
Complete documentation for DTWBI
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