DTWUMI
cranv1.0Imputation of Multivariate Time Series Based on Dynamic Time Warping. Functions to impute large gaps within multivariate time series based on Dynamic Time Warping methods. Gaps of size 1 or inferior to a defined threshold are filled using simple average and weighted moving average respectively. Larger gaps are filled using the methodology provided by Phan et al. (2017
License GPL (>= 2)0 versions1 maintainers7 deps89 weekly dl
https://CRAN.R-project.org/package=DTWUMI39
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curl https://depscope.dev/api/check/cran/DTWUMIFirst published · 2018-07-13 14:32:35
Last updated · 2018-07-13T13:30:09+00:00