DTWUMI

cranv1.0

Imputation 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=DTWUMI
39
/ 100
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  • Low health score (39/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
12/15
maturity
2/15
community
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0
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First published · 2018-07-13 14:32:35

Last updated · 2018-07-13T13:30:09+00:00

DTWUMI — Health Score 39/100 | DepScope