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/},
  }