imputeTS

R package imputeTS. Time Series Missing Value Imputation. Imputation (replacement) of missing values in univariate time series. Offers several imputation functions and missing data plots. Available imputation algorithms include: ’Mean’, ’LOCF’, ’Interpolation’, ’Moving Average’, ’Seasonal Decomposition’, ’Kalman Smoothing on Structural Time Series models’, ’Kalman Smoothing on ARIMA models’.


References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Roy, Arkaprava; Ghosal, Subhashis: Optimal Bayesian smoothing of functional observations over a large graph (2022)
  2. Fernandes, Sofia; Antunes, Mário; Gomes, Diogo; Aguiar, Rui L.: Misalignment problem in matrix decomposition with missing values (2021)
  3. Kalantari, Mahdi: Forecasting COVID-19 pandemic using optimal singular spectrum analysis (2021)
  4. Klaus Nordhausen, Markus Matilainen, Jari Miettinen, Joni Virta, Sara Taskinen: Dimension Reduction for Time Series in a Blind Source Separation Context Using R (2021) not zbMATH
  5. Michał Narajewski, Jens Kley-Holsteg, Florian Ziel: tsrobprep - an R package for robust preprocessing of time series data (2021) arXiv
  6. Müller, Juliane; Park, Jangho; Sahu, Reetik; Varadharajan, Charuleka; Arora, Bhavna; Faybishenko, Boris; Agarwal, Deborah: Surrogate optimization of deep neural networks for groundwater predictions (2021)
  7. Wongoutong, Chantha: Imputation methods in time series with a trend and a consecutive missing value pattern (2021)
  8. Lebacher, Michael; Thurner, Paul W.; Kauermann, Göran: Exploring dependence structures in the international arms trade network: a network autocorrelation approach (2020)
  9. Parrella, Maria Lucia; Albano, Giuseppina; La Rocca, Michele; Perna, Cira: Reconstructing missing data sequences in multivariate time series: an application to environmental data (2019)
  10. Imbert, Alyssa; Vialaneix, Nathalie: Exploring, handling, imputing and evaluating missing data in statistical analyses: a review of existing approaches (2018)
  11. Neeraj Bokde, Kishore Kulat, Marcus W Beck, Gualberto Asencio-Cortes: R package imputeTestbench to compare imputations methods for univariate time series (2016) arXiv