R: Imputation of Time Series Based on Dynamic Time Warping

# Imputation of Time Series Based on Dynamic Time Warping

## Documentation for package ‘DTWBI’ version 1.1

- DESCRIPTION file

## Help Pages

DTWBI-package | Imputation of Time Series Based on Dynamic Time Warping
compute.fa2 | FA2
compute.fb | Fractional Bias (FB)
compute.fsd | Fraction of Standard Deviation (FSD)
compute.nmae | Normalized Mean Absolute Error (NMAE)
compute.rmse | Root Mean Square Error (RMSE)
compute.sim | Similarity
dataDTWBI | Six univariate signals as example for DTWBI package
dist_afbdtw | Adaptive Feature Based Dynamic Time Warping algorithm
DTWBI | Imputation of Time Series Based on Dynamic Time Warping
DTWBI_univariate | DTWBI algorithm for univariate signals
gapCreation | Gap creation
local.derivative.ddtw | Local derivative estimate to compute DDTW
minCost | DTW-based methods for univariate signals