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SMFilter  

Filtering Algorithms for the State Space Models on the Stiefel Manifold
View on CRAN: Click here


Download and install SMFilter package within the R console
Install from CRAN:
install.packages("SMFilter")

Install from Github:
library("remotes")
install_github("cran/SMFilter")

Install by package version:
library("remotes")
install_version("SMFilter", "1.0.5")



Attach the package and use:
library("SMFilter")
Maintained by
Yukai Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-26
Latest Update: 2018-12-12
Description:
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.
How to cite:
Yukai Yang (2018). SMFilter: Filtering Algorithms for the State Space Models on the Stiefel Manifold. R package version 1.0.5, https://cran.r-project.org/web/packages/SMFilter. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-20 23:20), 1.0.0 (2018-11-26 21:40), 1.0.2 (2018-12-03 20:20), 1.0.3 (2018-12-12 23:20)
Other packages that cited SMFilter R package
View SMFilter citation profile
Other R packages that SMFilter depends, imports, suggests or enhances
Complete documentation for SMFilter
Functions, R codes and Examples using the SMFilter R package
Some associated functions: FDist2 . FilterModel1 . FilterModel2 . SMFilter . SimModel1 . SimModel2 . rmLB_sm . runif_sm . rvlb_sm . version . 
Some associated R codes: SMFilter.R . filtering.R . optimization.R . simulation.R . utils.R .  Full SMFilter package functions and examples
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