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'. Published in Moritz and Bartz-Beielstein (2017) doi:10.32614/RJ-2017-009.
- Version3.4
- R versionR (≥ 3.6)
- LicenseGPL-3
- Needs compilation?Yes
- imputeTS citation info
- Last release08/25/2025
Documentation
Team
Steffen Moritz
MaintainerShow author detailsEaro Wang
Show author detailsRolesContributorRon Hause
Sebastian Gatscha
Show author detailsRolesAuthor
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Dependencies
- Imports6 packages
- Suggests11 packages
- Linking To1 package
- Reverse Imports21 packages
- Reverse Suggests5 packages