Rfssa: Functional Singular Spectrum Analysis

Methods and tools for implementing functional singular spectrum analysis for functional time series as described in Haghbin H., Najibi, S.M., Mahmoudvand R., Trinka J., Maadooliat M. (2019). Functional singular spectrum Analysis. Manuscript submitted for publication.

Version: 1.0.0
Depends: R (≥ 2.10), dplyr
Imports: Rcpp, fda, lattice, plotly, shiny, Rssa, markdown
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr
Published: 2019-09-12
Author: Hossein Haghbin [aut, cre], Seyed Morteza Najibi [aut], Jordan Trinka [aut], Mehdi Maadooliat [aut]
Maintainer: Hossein Haghbin <haghbinh at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/haghbinh/Rfssa.git
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: Rfssa results


Reference manual: Rfssa.pdf
Package source: Rfssa_1.0.0.tar.gz
Windows binaries: r-devel: Rfssa_1.0.0.zip, r-release: Rfssa_1.0.0.zip, r-oldrel: Rfssa_1.0.0.zip
macOS binaries: r-release: Rfssa_1.0.0.tgz, r-oldrel: Rfssa_1.0.0.tgz
Old sources: Rfssa archive


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