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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