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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>.

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
Author: Steffen Moritz ORCID iD [aut, cre, cph], Sebastian Gatscha [aut], Earo Wang ORCID iD [ctb], Ron Hause ORCID iD [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:

Reference manual: imputeTS.pdf
Vignettes: Cheat Sheet imputeTS
imputeTS: Time Series Missing Value Imputation in R
Gallery: Times Series Missing Data Visualizations

Downloads:

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 dependencies:

Reverse imports: audrex, cleanTS, codez, dymo, EventDetectR, gimme, hpiR, imputeTestbench, jenga, kssa, lambdaTS, MissingHandle, mvLSWimpute, naive, OOS, proteus, RamanMP, realTimeloads, segen, SLBDD, spooky, tetragon, TrendSLR
Reverse suggests: baytrends, epimdr, epimdr2, naniar, tsbox

Linking:

Please use the canonical form https://CRAN.R-project.org/package=imputeTS to link to this page.

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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