Imputation of Multivariate Time Series Based on Dynamic Time Warping

Documentation for package ‘DTWUMI’ version 1.1

.dist_afbdtw_matrix	Adaptive Feature Based Dynamic Time Warping algorithm for multivariate signals
.trapezoid	Trapezoidal membership function
dataDTWUMI	A multivariate times series consisting of three signals as example for DTWUMI package
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