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Implementation of dynamic principal component analysis (DPCA), simulation of VAR and VMA processes and frequency domain tools. These frequency domain methods for dimensionality reduction of multivariate time series were introduced by David Brillinger in his book Time Series (1974). We follow implementation guidelines as described in Hormann, Kidzinski and Hallin (2016), Dynamic Functional Principal Component <doi:10.1111/rssb.12076>.
Version: | 2.0.5 |
Depends: | R (≥ 2.15.0), mvtnorm, stats, graphics, base, matrixcalc, utils |
Suggests: | fda, MASS, MARSS, testthat (≥ 3.0.0) |
Published: | 2024-04-06 |
DOI: | 10.32614/CRAN.package.freqdom |
Author: | Hormann S., Kidzinski L. |
Maintainer: | Kidzinski L. <lukasz.kidzinski at stanford.edu> |
License: | GPL-3 |
NeedsCompilation: | no |
In views: | FunctionalData, TimeSeries |
CRAN checks: | freqdom results |
Reference manual: | freqdom.pdf |
Package source: | freqdom_2.0.5.tar.gz |
Windows binaries: | r-devel: freqdom_2.0.5.zip, r-release: freqdom_2.0.5.zip, r-oldrel: freqdom_2.0.5.zip |
macOS binaries: | r-release (arm64): freqdom_2.0.5.tgz, r-oldrel (arm64): freqdom_2.0.5.tgz, r-release (x86_64): freqdom_2.0.5.tgz, r-oldrel (x86_64): freqdom_2.0.5.tgz |
Old sources: | freqdom archive |
Reverse depends: | freqdom.fda |
Reverse imports: | ASV, pcdpca |
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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.
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