The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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/},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.