imputeTS (2.5)

1 user

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'.

Maintainer: Steffen Moritz
Author(s): Steffen Moritz

License: GPL-3

Uses: forecast, Rcpp, stinepack, testthat
Reverse suggests: naniar

Released 9 months ago.

13 previous versions



  5.0/5 (1 vote)


  5.0/5 (1 vote)

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