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'.
Version: | 2.5 |
Depends: | R (≥ 3.0.1) |
Imports: | stats, stinepack, graphics, grDevices, forecast, Rcpp |
LinkingTo: | Rcpp |
Suggests: | testthat, utils |
Published: | 2017-06-13 |
Author: | Steffen Moritz |
Maintainer: | Steffen Moritz <steffen.moritz10 at gmail.com> |
BugReports: | https://github.com/SteffenMoritz/imputeTS/issues |
License: | GPL-3 |
URL: | https://github.com/SteffenMoritz/imputeTS |
NeedsCompilation: | yes |
Citation: | imputeTS citation info |
Materials: | README NEWS |
In views: | TimeSeries |
CRAN checks: | imputeTS results |
Reference manual: | imputeTS.pdf |
Vignettes: |
imputeTS: Time Series Missing Value Imputation in R |
Package source: | imputeTS_2.5.tar.gz |
Windows binaries: | r-devel: imputeTS_2.5.zip, r-release: imputeTS_2.5.zip, r-oldrel: imputeTS_2.5.zip |
OS X El Capitan binaries: | r-release: imputeTS_2.5.tgz |
OS X Mavericks binaries: | r-oldrel: imputeTS_2.5.tgz |
Old sources: | imputeTS archive |
Reverse imports: | imputeTestbench |
Reverse suggests: | naniar |
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