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: |
3.0 |
| Depends: |
R (≥ 3.0.1) |
| Imports: |
stats, graphics, grDevices, stinepack, forecast, magrittr, Rcpp |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat, R.rsp, zoo, timeSeries, tis, xts, tibble, tsibble |
| Published: |
2019-07-01 |
| Author: |
Steffen Moritz 
[aut, cre, cph],
Sebastian Gatscha [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 |