CRAN/E | Riemann

Riemann

Learning with Data on Riemannian Manifolds

Installation

About

We provide a variety of algorithms for manifold-valued data, including Fréchet summaries, hypothesis testing, clustering, visualization, and other learning tasks. See Bhattacharya and Bhattacharya (2012) doi:10.1017/CBO9781139094764 for general exposition to statistics on manifolds.

kisungyou.com/Riemann/
Bug report File report

Key Metrics

Version 0.1.4
R ≥ 2.10
Published 2022-02-28 791 days ago
Needs compilation? yes
License MIT
License File
CRAN checks Riemann results

Downloads

Yesterday 3 0%
Last 7 days 60 -17%
Last 30 days 218 -11%
Last 90 days 698 -34%
Last 365 days 3.278 +6%

Maintainer

Maintainer

Kisung You

kisungyou@outlook.com

Authors

Kisung You

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Riemann 101 : A First Step

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Riemann archive

Depends

R ≥ 2.10

Imports

CVXR
Rcpp ≥ 1.0.5
Rdpack
RiemBase
Rdimtools
T4cluster
DEoptim
lpSolve
Matrix
maotai ≥ 0.2.2
stats
utils

Suggests

R.rsp
knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo