rstiefel: Random Orthonormal Matrix Generation and Optimization on the Stiefel Manifold

Simulation of random orthonormal matrices from linear and quadratic exponential family distributions on the Stiefel manifold. The most general type of distribution covered is the matrix-variate Bingham-von Mises-Fisher distribution. Most of the simulation methods are presented in Hoff(2009) "Simulation of the Matrix Bingham-von Mises-Fisher Distribution, With Applications to Multivariate and Relational Data" <doi:10.1198/jcgs.2009.07177>. The package also includes functions for optimization on the Stiefel manifold based on algorithms described in Wen and Yin (2013) "A feasible method for optimization with orthogonality constraints" <doi:10.1007/s10107-012-0584-1>.

Version:	1.0.1
Depends:	R (≥ 2.10)
Suggests:	knitr
Published:	2021-06-15
Author:	Peter Hoff and Alexander Franks
Maintainer:	Peter Hoff <peter.hoff at duke.edu>
License:	GPL-3
NeedsCompilation:	yes
Materials:	README NEWS
In views:	Bayesian
CRAN checks:	rstiefel results

Documentation:

Reference manual:	rstiefel.pdf
Vignettes:	Matrix modeling with rstiefel

Downloads:

Package source:	rstiefel_1.0.1.tar.gz
Windows binaries:	r-devel: rstiefel_1.0.1.zip, r-release: rstiefel_1.0.1.zip, r-oldrel: rstiefel_1.0.1.zip
macOS binaries:	r-release (arm64): rstiefel_1.0.1.tgz, r-oldrel (arm64): rstiefel_1.0.1.tgz, r-release (x86_64): rstiefel_1.0.1.tgz, r-oldrel (x86_64): rstiefel_1.0.1.tgz
Old sources:	rstiefel archive

Reverse dependencies:

Reverse imports:

bayesammi, baystability, BSPBSS, PPbigdata, T4cluster

Linking:

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