R: Imputation of Multivariate Time Series Based on Dynamic Time Warping

# Imputation of Multivariate Time Series Based on Dynamic Time Warping

## Documentation for package ‘DTWUMI’ version 1.0

- DESCRIPTION file

## Help Pages

DTWUMI-package | Imputation of Multivariate Time Series Based on Dynamic Time Warping
dataDTWUMI | A multivariate times series consisting of three signals as example for DTWUMI package
DTWUMI | Imputation of Multivariate Time Series Based on Dynamic Time Warping
DTWUMI_1gap_imputation | Imputation of a large gap based on DTW for multivariate signals
DTWUMI_imputation | Large gaps imputation based on DTW for multivariate signals
imp_1NA | Imputing gaps of size 1
Indexes_size_missing_multi | Indexing gaps size