DTWBI
Imputation of Time Series Based on Dynamic Time Warping
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).
- Version1.1
- R version≥ 3.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release07/11/2018
Documentation
Team
Emilie Poisson-Caillault
Camille Dezecache
T. T. Hong Phan
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- Imports5 packages
- Reverse Imports1 package