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Provides the filtering algorithms for the state space models on the Stiefel manifold as well as the corresponding sampling algorithms for uniform, vector Langevin-Bingham and matrix Langevin-Bingham distributions on the Stiefel manifold.
| Version: | 1.0.3 |
| Depends: | R (≥ 3.0.0) |
| Suggests: | knitr, rmarkdown, ggplot2 |
| Published: | 2018-12-12 |
| DOI: | 10.32614/CRAN.package.SMFilter |
| Author: | Yukai Yang [aut, cre] |
| Maintainer: | Yukai Yang <yukai.yang at statistik.uu.se> |
| BugReports: | https://github.com/yukai-yang/SMFilter/issues |
| License: | GPL-3 |
| URL: | https://github.com/yukai-yang/SMFilter |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | SMFilter results |
| Reference manual: | SMFilter.pdf |
| Vignettes: |
README |
| Package source: | SMFilter_1.0.3.tar.gz |
| Windows binaries: | r-devel: SMFilter_1.0.3.zip, r-release: SMFilter_1.0.3.zip, r-oldrel: SMFilter_1.0.3.zip |
| macOS binaries: | r-release (arm64): SMFilter_1.0.3.tgz, r-oldrel (arm64): SMFilter_1.0.3.tgz, r-release (x86_64): SMFilter_1.0.3.tgz, r-oldrel (x86_64): SMFilter_1.0.3.tgz |
| Old sources: | SMFilter archive |
| Reverse suggests: | tip |
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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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