Learn R Programming

Tools for Inference, Learning, and Optimization on Stiefel Manifold

Stiefel manifold is a set of orthonormal frames in Euclidean space. We provide algorithms for statistical inference, optimization, and learning over the Stiefel manifold.

Installation

You can install the released version of RiemStiefel from CRAN with:

install.packages("RiemStiefel")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("kyoustat/RiemStiefel")

Available Functions

functiondescription
st.meanFrechet mean computation.
st.runifrandom sample generation from uniform distribution.
st.utestRtest of uniformity.
stopt.SASimulated Annealing algorithm for optimization.

Copy Link

Version

Install

install.packages('RiemStiefel')

Monthly Downloads

7

Version

0.1.1

License

GPL (>= 3)

Maintainer

Kisung You

Last Published

March 25th, 2020

Functions in RiemStiefel (0.1.1)

RiemStiefel

Tools for Inference, Learning, and Optimization on Stiefel Manifold
st.hclust

Hierarchical Agglomerative Clustering on Stiefel Manifold
st.mean

Fr<U+00E9>chet Mean on Stiefel Manifold
st.pdist

Pairwise Distance for Data on Stiefel Manifold
stopt.SA

Optimization over Stiefel Manifold with Simulated Annealing
st.runif

Generate Random Samples from Uniform Distribution on Stiefel Manifold
st.utestR

Test of Uniformity via Rayleigh Statistic on Stiefel Manifold