Man pages for DTWBI
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 |
| dot-DTW_threshold_global_univariate | Global threshold for missing data imputation |
| dot-Finding_similar_window_univariate | Finding similar windows to a query |
| dot-Finding_similar_window_univariate_AFBDTW | Finding similar windows to a query |
| dot-globalfeatures | Estimating global features of a univariate signal |
| 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 |
