Imputation of Time Series Based on Dynamic Time Warping
FA2
Fractional Bias (FB)
Fraction of Standard Deviation (FSD)
Normalized Mean Absolute Error (NMAE)
Root Mean Square Error (RMSE)
Similarity
Adaptive Feature Based Dynamic Time Warping algorithm
tools:::Rd_package_title("DTWBI")
DTWBI algorithm for univariate signals
Gap creation
Local derivative estimate to compute DDTW
DTW-based methods for univariate signals
Functions to impute large gaps within time series based on Dynamic Time Warping methods. It contains all required functions to create large missing consecutive values within time series and to fill them, according to the paper Phan et al. (2017), <DOI:10.1016/j.patrec.2017.08.019>. Performance criteria are added to compare similarity between two signals (query and reference).