README.md

In kyoustat/RiemStiefel: Inference, Learning, and Optimization on Stiefel Manifold

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

| function | description | |-------------|-----------------------------------------------------| | st.mean | Frechet mean computation. | | st.runif | random sample generation from uniform distribution. | | st.utestR | test of uniformity. | | stopt.SA | Simulated Annealing algorithm for optimization. |

kyoustat/RiemStiefel documentation built on March 31, 2020, 7:47 a.m.