The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

SMFilter: Filtering Algorithms for the State Space Models on the Stiefel Manifold

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

Documentation:

Reference manual: SMFilter.pdf
Vignettes: README

Downloads:

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 dependencies:

Reverse suggests: tip

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SMFilter to link to this page.

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.
Health stats visible at Monitor.