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:	3.2
Depends:	R (≥ 3.0.1)
Imports:	stats, grDevices, ggplot2 (≥ 3.3.0), ggtext, stinepack, forecast, magrittr, Rcpp
LinkingTo:	Rcpp
Suggests:	testthat, R.rsp, knitr, zoo, timeSeries, tis, xts, tibble, tsibble, rmarkdown
Published:	2021-01-16
Author:	Steffen Moritz [aut, cre, cph], Sebastian Gatscha [aut], Earo Wang [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_3.2.tar.gz
Windows binaries:	r-devel: imputeTS_3.2.zip, r-release: imputeTS_3.2.zip, r-oldrel: imputeTS_3.2.zip
macOS binaries:	r-release (arm64): imputeTS_3.2.tgz, r-oldrel (arm64): imputeTS_3.2.tgz, r-release (x86_64): imputeTS_3.2.tgz, r-oldrel (x86_64): imputeTS_3.2.tgz
Old sources:	imputeTS archive

Reverse dependencies:

Reverse imports:	audrex, cleanTS, EventDetectR, gimme, hpiR, imputeTestbench, jenga, lambdaTS, OOS, proteus, RamanMP, RiverLoad, spooky, tetragon, TrendSLR
Reverse suggests:	baytrends, epimdr, naniar, tsbox

Linking:

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