SteffenMoritz/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>.
Getting started
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Package details |
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| Author | Steffen Moritz [aut, cre, cph] (<https://orcid.org/0000-0002-0085-1804>), Sebastian Gatscha [aut], Earo Wang [ctb] (<https://orcid.org/0000-0001-6448-5260>), Ron Hause [ctb] (<https://orcid.org/0000-0002-5229-7366>) |
| Maintainer | Steffen Moritz <steffen.moritz10@gmail.com> |
| License | GPL-3 |
| Version | 3.3 |
| URL | https://github.com/SteffenMoritz/imputeTS https://steffenmoritz.github.io/imputeTS/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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