Package: rifle 1.0

Kean Ming Tan

rifle: Sparse Generalized Eigenvalue Problem

Implements the algorithms for solving sparse generalized eigenvalue problem by Tan, et. al. (2018). Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow. To appear in Journal of the Royal Statistical Society: Series B. <arxiv:1604.08697>.

Authors:Kean Ming Tan

rifle_1.0.tar.gz
rifle_1.0.tar.gz(r-4.5-noble)rifle_1.0.tar.gz(r-4.4-noble)
rifle_1.0.tgz(r-4.4-emscripten)rifle_1.0.tgz(r-4.3-emscripten)
rifle.pdf |rifle.html✨
rifle/json (API)

# Install 'rifle' in R:
install.packages('rifle', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 1 packages 160 downloads 2 exports 1 dependencies

Last updated 7 years agofrom:397bea8938. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-linuxOKMar 05 2025
R-4.4-linuxOKMar 05 2025

Exports:initial.convexrifle

Dependencies:MASS

Citation

To cite package ‘rifle’ in publications use:

Tan KM (2018). rifle: Sparse Generalized Eigenvalue Problem. R package version 1.0, https://CRAN.R-project.org/package=rifle.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {rifle: Sparse Generalized Eigenvalue Problem},
    author = {Kean Ming Tan},
    year = {2018},
    note = {R package version 1.0},
    url = {https://CRAN.R-project.org/package=rifle},
  }