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), . Performance criteria are added to compare similarity between two signals (query and reference).


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install.packages("DTWBI")

1.1 by Emilie Poisson-Caillault, 3 years ago


http://mawenzi.univ-littoral.fr/DTWBI/


Browse source code at https://github.com/cran/DTWBI


Authors: Camille Dezecache , T. T. Hong Phan , Emilie Poisson-Caillault


Documentation:   PDF Manual  


Task views: Missing Data


GPL (>= 2) license


Imports dtw, rlist, stats, e1071, entropy, lsa


Imported by DTWUMI.


See at CRAN