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 <steffen.moritz10 at gmail.com>

Author(s): Steffen Moritz

Install package and any missing dependencies by running this line in your R console:

install.packages("imputeTS")

Depends R (>= 3.0.1)
Imports stats, stinepack, graphics, grDevices, forecast, Rcpp
Suggests testthat, utils
Enhances
Linking to Rcpp
Reverse
depends
Reverse
imports
imputeTestbench
Reverse
suggests
naniar
Reverse
enhances
Reverse
linking to

Package imputeTS
Materials
URL https://github.com/SteffenMoritz/imputeTS
Task Views TimeSeries
Version 2.5
Published 2017-06-13
License GPL-3
BugReports https://github.com/SteffenMoritz/imputeTS/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks imputeTS check results
Package source imputeTS_2.5.tar.gz