imputeTS: Time Series Missing Value Imputation (original) (raw)
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: | 3.3 |
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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: | 2022-09-09 |
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 |
Documentation:
Downloads:
Reverse dependencies:
Reverse imports: | audrex, cleanTS, codez, dymo, EventDetectR, gimme, hpiR, imputeTestbench, jenga, kssa, lambdaTS, MissingHandle, mvLSWimpute, naive, OOS, proteus, RamanMP, realTimeloads, ropenmeteo, segen, SLBDD, spooky, tetragon, TrendSLR |
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Reverse suggests: | baytrends, epimdr, epimdr2, naniar, tsbox |
Linking:
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