imputeTS: Imputation (replacement) of missing values in univariate time series.
Dear R users, I would like to announce version 1.8 of the imputeTS package. ( https://cran.r-project.org/package=imputeTS ) Since I did not introduce the package here before, let me give you a short wrap up: The package - Focuses on missing value replacement in (univariate) time series - Offers several simple and very fast imputation algorithms ( e.g. mean, last observation carried forward, linear interpolation ) - Offers several advanced (but slower) imputation algorithms ( like e.g. kalman smoothing on structural time series models ) - Additionally provides functions for plotting the distribution of missing values in a time series The latest (version 1.8) update includes significant speed improvements for some of the imputation functions. I am always happy about feedback! ( either per mail or via https://github.com/SteffenMoritz/imputeTS ) Best regards, Steffen [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
