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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 |
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 |
Reference manual: | imputeTS.pdf |
Vignettes: |
Cheat Sheet imputeTS imputeTS: Time Series Missing Value Imputation in R Gallery: Times Series Missing Data Visualizations |
Package source: | imputeTS_3.3.tar.gz |
Windows binaries: | r-devel: imputeTS_3.3.zip, r-release: imputeTS_3.3.zip, r-oldrel: imputeTS_3.3.zip |
macOS binaries: | r-release (arm64): imputeTS_3.3.tgz, r-oldrel (arm64): imputeTS_3.3.tgz, r-release (x86_64): imputeTS_3.3.tgz, r-oldrel (x86_64): imputeTS_3.3.tgz |
Old sources: | imputeTS archive |
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 |
Reverse suggests: | baytrends, epimdr, epimdr2, naniar, tsbox |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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