Package: imputeTS
Version: 2.7
Date: 2018-06-19
Title: Time Series Missing Value Imputation
Description: 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'.
Author: Steffen Moritz [aut, cre, cph]
    (<https://orcid.org/0000-0002-0085-1804>)
Authors@R: 
  c(
  person("Steffen", "Moritz", email="steffen.moritz10@gmail.com", role=c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-0085-1804"))
  )
Maintainer: Steffen Moritz <steffen.moritz10@gmail.com>
LazyData: yes
Type: Package
ByteCompile: TRUE
BugReports: https://github.com/SteffenMoritz/imputeTS/issues
URL: https://github.com/SteffenMoritz/imputeTS
Repository: CRAN
Depends: R (>= 3.0.1)
Imports: stats, stinepack, graphics, grDevices, forecast, magrittr,
        Rcpp
Suggests: testthat, utils, zoo, timeSeries, tis, xts
License: GPL-3
VignetteBuilder: utils
RoxygenNote: 6.0.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2018-06-20 09:13:00 UTC; Steve
Date/Publication: 2018-06-20 09:38:19 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-26 23:26:54 UTC; windows
Archs: i386, x64
