Imputation of Time Series Based on Dynamic Time Warping
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Documentation for package ‘DTWBI’ version 1.1
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 |