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 Documentation: Downloads: Reverse dependencies: Reverse imports: audrex, chopper, cleanTS, codez, doblin, dymo, EventDetectR, gimme, hpiR, imputeTestbench, jenga, kssa, lambdaTS, MissingHandle, mvLSWimpute, naive, proteus, RamanMP, realTimeloads, segen, SLBDD, spooky, tetragon Reverse suggests: baytrends, epimdr, microinverterdata, naniar, tsbox Linking:Please use the canonical form https://CRAN.R-project.org/package=imputeTS to link to this page.
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