Package: Riemann
Type: Package
Title: Learning with Data on Riemannian Manifolds
Version: 0.1.4
Authors@R: c(person("Kisung", "You", role = c("aut", "cre"), email = "kisungyou@outlook.com",comment=c(ORCID="0000-0002-8584-459X")))
Description: 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.
License: MIT + file LICENSE
Imports: CVXR, Rcpp (>= 1.0.5), Rdpack, RiemBase, Rdimtools, T4cluster,
        DEoptim, lpSolve, Matrix, maotai (>= 0.2.2), stats, utils
Encoding: UTF-8
URL: https://kisungyou.com/Riemann/
BugReports: https://github.com/kisungyou/Riemann/issues
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.2
RdMacros: Rdpack
Depends: R (>= 2.10)
Suggests: R.rsp, knitr, rmarkdown
VignetteBuilder: R.rsp, knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2022-02-28 19:30:40 UTC; kisung
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kisungyou@outlook.com>
Repository: CRAN
Date/Publication: 2022-02-28 20:30:02 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 03:42:01 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
