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>.
| Version: | 3.4 |
| 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 |
| Published: | 2025-08-25 |
| DOI: | 10.32614/CRAN.package.imputeTS |
| Author: | Steffen Moritz [aut, cre, cph], Sebastian Gatscha [aut], Earo Wang [ctb], Ron Hause [ctb] |
| Maintainer: | Steffen Moritz <steffen.moritz10 at gmail.com> |
| BugReports: | https://github.com/SteffenMoritz/imputeTS/issues |
| License: | GPL-3 |
| URL: | https://github.com/SteffenMoritz/imputeTS,https://steffenmoritz.github.io/imputeTS/ |
| NeedsCompilation: | yes |
| Citation: | imputeTS citation info |
| Materials: | README,NEWS |
| In views: | MissingData,TimeSeries |
| CRAN checks: | imputeTS results |