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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.4 |
rolling linux/jammy R-4.5 | imputeTS_3.4.tar.gz |
2.6 MiB |
3.4 |
rolling linux/noble R-4.5 | imputeTS_3.4.tar.gz |
2.6 MiB |
3.4 |
rolling source/ R- | imputeTS_3.4.tar.gz |
2.1 MiB |
3.4 |
latest linux/jammy R-4.5 | imputeTS_3.4.tar.gz |
2.6 MiB |
3.4 |
latest linux/noble R-4.5 | imputeTS_3.4.tar.gz |
2.6 MiB |
3.4 |
latest source/ R- | imputeTS_3.4.tar.gz |
2.1 MiB |
3.4 |
2026-04-26 source/ R- | imputeTS_3.4.tar.gz |
2.1 MiB |
3.4 |
2026-04-23 source/ R- | imputeTS_3.4.tar.gz |
2.1 MiB |
3.4 |
2026-04-09 windows/windows R-4.5 | imputeTS_3.4.zip |
2.9 MiB |
3.3 |
2025-04-20 source/ R- | imputeTS_3.3.tar.gz |
2.0 MiB |