imputeTS (3.0)

1 user

Time Series Missing Value Imputation.

https://github.com/SteffenMoritz/imputeTS
https://steffenmoritz.github.io/imputeTS/
http://cran.r-project.org/web/packages/imputeTS

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) .

Maintainer: Steffen Moritz
Author(s): Steffen Moritz [aut, cre, cph] (<https://orcid.org/0000-0002-0085-1804>), Sebastian Gatscha [ctb]

License: GPL-3

Uses: forecast, magrittr, Rcpp, stinepack, R.rsp, zoo, xts, timeSeries, tis, testthat, tibble, tsibble
Reverse suggests: baytrends, epimdr, naniar

Released 4 months ago.


16 previous versions

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  5.0/5 (1 vote)

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