Package: lorec 0.6.1

lorec: LOw Rand and sparsE Covariance matrix estimation

Estimate covariance matrices that contain low rank and sparse components

Authors:Xi LUO

lorec_0.6.1.tar.gz
lorec_0.6.1.zip(r-4.7)lorec_0.6.1.zip(r-4.6)lorec_0.6.1.zip(r-4.5)
lorec_0.6.1.tgz(r-4.6-x86_64)lorec_0.6.1.tgz(r-4.6-arm64)lorec_0.6.1.tgz(r-4.5-x86_64)lorec_0.6.1.tgz(r-4.5-arm64)
lorec_0.6.1.tar.gz(r-4.7-arm64)lorec_0.6.1.tar.gz(r-4.7-x86_64)lorec_0.6.1.tar.gz(r-4.6-arm64)lorec_0.6.1.tar.gz(r-4.6-x86_64)
lorec_0.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lorec/json (API)

# Install 'lorec' in R:
install.packages('lorec', repos = c('https://rluo.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

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

openblasfortran

1.00 score 1 scripts 110 downloads 1 exports 0 dependencies

Last updated from:a7bcef7667. Checks:9 NOTE, 2 OK, 2 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE99
linux-devel-x86_64NOTE102
source / vignettesOK199
linux-release-arm64NOTE104
linux-release-x86_64NOTE89
macos-release-arm64NOTE99
macos-release-x86_64NOTE234
macos-oldrel-arm64FAIL91
macos-oldrel-x86_64FAIL175
windows-develNOTE108
windows-releaseNOTE89
windows-oldrelNOTE72
wasm-releaseOK89

Exports:lorec

Dependencies: