Time Series Missing Value Imputation R package imputeTS version 3.4 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) 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'. Published in Moritz and Bartz-Beielstein (2017) <doi:10.32614/RJ-2017-009>. Software Depends: R (>= 3.6) Imports: stats, grDevices, ggplot2 (>= 3.3.0), ggtext, stinepack, forecast, magrittr, methods, Rcpp LinkingTo: Rcpp Suggests: testthat, R.rsp, knitr, zoo, timeSeries, tis, xts, tibble, tsibble, rmarkdown, covr Steffen Moritz <steffen.moritz10@gmail.com> Comprehensive R Archive Network (CRAN) Steffen Moritz [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-0085-1804>), Sebastian Gatscha [aut], Earo Wang [ctb] (ORCID: <https://orcid.org/0000-0001-6448-5260>), Ron Hause [ctb] (ORCID: <https://orcid.org/0000-0002-5229-7366>) GPL-3 2025-08-25 application/tgz https://CRAN.R-project.org/package=imputeTS doi:10.32614/CRAN.package.imputeTS