Package: imputeTS
Version: 2.6
Date: 2018-03-20
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
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, Rcpp
Suggests: testthat, utils
License: GPL-3
VignetteBuilder: utils
RoxygenNote: 6.0.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2018-03-20 12:34:11 UTC; Steve
Date/Publication: 2018-03-20 18:08:55 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 12:59:34 UTC; windows
Archs: i386, x64
