mvLSWimpute: Imputation Methods for Multivariate Locally Stationary Time Series

Implementation of imputation techniques based on locally stationary wavelet time series forecasting methods from Wilson, R. E. et al. (2021) <doi:10.1007/s11222-021-09998-2>.

Version: 0.1.1
Depends: wavethresh, mvLSW
Imports: binhf, xts, zoo, imputeTS, utils
Published: 2022-08-16
Author: Rebecca Wilson [aut], Matt Nunes [aut, cre], Idris Eckley [ctb, ths], Tim Park [ctb]
Maintainer: Matt Nunes <nunesrpackages at>
License: GPL-2
NeedsCompilation: no
In views: TimeSeries
CRAN checks: mvLSWimpute results


Reference manual: mvLSWimpute.pdf


Package source: mvLSWimpute_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mvLSWimpute_0.1.1.tgz, r-oldrel (arm64): mvLSWimpute_0.1.1.tgz, r-release (x86_64): mvLSWimpute_0.1.1.tgz, r-oldrel (x86_64): mvLSWimpute_0.1.1.tgz


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