Package: imputeTS
Version: 3.0
Date: 2019-07-01
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'. Published in Moritz and Bartz-Beielstein (2017) 
            <doi: 10.32614/RJ-2017-009>.
Author: Steffen Moritz [aut, cre, cph]
    (<https://orcid.org/0000-0002-0085-1804>),
  Sebastian Gatscha [ctb]
Authors@R: 
  c(
  person("Steffen", "Moritz", email="steffen.moritz10@gmail.com", role=c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-0085-1804")),
  person("Sebastian", "Gatscha", email="sebastian_gatscha@gmx.at", role="ctb")
  )
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,
        https://steffenmoritz.github.io/imputeTS/
Repository: CRAN
Depends: R (>= 3.0.1)
Imports: stats, graphics, grDevices, stinepack, forecast, magrittr,
        Rcpp
Suggests: testthat, R.rsp, zoo, timeSeries, tis, xts, tibble, tsibble
License: GPL-3
VignetteBuilder: R.rsp
RoxygenNote: 6.0.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2019-07-01 15:11:57 UTC; Steve
Date/Publication: 2019-07-01 15:50:11 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 12:02:02 UTC; windows
Archs: i386, x64
