Package: secure 0.6

secure: Sequential Co-Sparse Factor Regression

Sequential factor extraction via co-sparse unit-rank estimation (SeCURE).

Authors:Aditya Mishra [aut, cre], Kun Chen [aut, cre]

secure_0.6.tar.gz
secure_0.6.zip(r-4.5)secure_0.6.zip(r-4.4)secure_0.6.zip(r-4.3)
secure_0.6.tgz(r-4.4-x86_64)secure_0.6.tgz(r-4.4-arm64)secure_0.6.tgz(r-4.3-x86_64)secure_0.6.tgz(r-4.3-arm64)
secure_0.6.tar.gz(r-4.5-noble)secure_0.6.tar.gz(r-4.4-noble)
secure_0.6.tgz(r-4.4-emscripten)secure_0.6.tgz(r-4.3-emscripten)
secure.pdf |secure.html
secure/json (API)

# Install 'secure' in R:
install.packages('secure', repos = c('https://amishra-stats.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

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

1.00 score 7 scripts 174 downloads 4 exports 3 dependencies

Last updated 4 years agofrom:183d0dfc4a. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-win-x86_64OKNov 08 2024
R-4.5-linux-x86_64OKNov 08 2024
R-4.4-win-x86_64OKNov 08 2024
R-4.4-mac-x86_64OKNov 08 2024
R-4.4-mac-aarch64OKNov 08 2024
R-4.3-win-x86_64OKNov 08 2024
R-4.3-mac-x86_64OKNov 08 2024
R-4.3-mac-aarch64OKNov 08 2024

Exports:rrr.fitsecure.controlsecure.pathsecure.sim

Dependencies:MASSRcppRcppArmadillo