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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 |
DOI: | 10.32614/CRAN.package.mvLSWimpute |
Author: | Rebecca Wilson [aut], Matt Nunes [aut, cre], Idris Eckley [ctb, ths], Tim Park [ctb] |
Maintainer: | Matt Nunes <nunesrpackages at gmail.com> |
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: mvLSWimpute_0.1.1.zip, r-release: mvLSWimpute_0.1.1.zip, r-oldrel: mvLSWimpute_0.1.1.zip |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.