To cite the associated publication use:
Phan T, Poisson-Caillault E, Lefebvre A, Bigand A (2017). “Dynamic time warping-based imputation for univariate time series data.” Pattern Recognition Letters. ISSN 0167-8655, doi:10.1016/j.patrec.2017.08.019, http://www.sciencedirect.com/science/article/pii/S0167865517302751.
This package relies on DTW algorithm:
Giorgino T (2009). “Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package.” Journal of Statistical Software, 31(7), 1–24. http://www.jstatsoft.org/v31/i07/.
Corresponding BibTeX entries:
@Article{, title = {Dynamic time warping-based imputation for univariate time series data}, author = {Thi-Thu-Hong Phan and Emilie Poisson-Caillault and Alain Lefebvre and Andre Bigand}, journal = {Pattern Recognition Letters}, year = {2017}, issn = {0167-8655}, doi = {10.1016/j.patrec.2017.08.019}, url = {http://www.sciencedirect.com/science/article/pii/S0167865517302751}, keywords = {Imputation, Missing data, Univariate time series, DTW, Similarity}, }
@Article{, title = {Computing and Visualizing Dynamic Time Warping Alignments in {R}: The {dtw} Package}, author = {Toni Giorgino}, journal = {Journal of Statistical Software}, year = {2009}, volume = {31}, number = {7}, pages = {1--24}, url = {http://www.jstatsoft.org/v31/i07/}, }