Package: BigQuic 1.1-13
Khalid B. Kunji
BigQuic: Big Quadratic Inverse Covariance Estimation
Use Newton's method, coordinate descent, and METIS clustering to solve the L1 regularized Gaussian MLE inverse covariance matrix estimation problem.
Authors:
BigQuic_1.1-13.tar.gz
BigQuic_1.1-13.tar.gz(r-4.5-noble)BigQuic_1.1-13.tar.gz(r-4.4-noble)
BigQuic_1.1-13.tgz(r-4.4-emscripten)BigQuic_1.1-13.tgz(r-4.3-emscripten)
BigQuic.pdf |BigQuic.html✨
BigQuic/json (API)
| # Install 'BigQuic' in R: |
| install.packages('BigQuic', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:3f5bb2871f. Checks:3 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 19 2025 |
| R-4.5-linux-x86_64 | OK | Mar 19 2025 |
| R-4.4-linux-x86_64 | OK | Mar 19 2025 |
Exports:BigQuicBigQuic.select
Citation
To cite package ‘BigQuic’ in publications use:
Kunji K (2022). BigQuic: Big Quadratic Inverse Covariance Estimation. R package version 1.1-13, https://CRAN.R-project.org/package=BigQuic.
Corresponding BibTeX entry:
@Manual{,
title = {BigQuic: Big Quadratic Inverse Covariance Estimation},
author = {Khalid B. Kunji},
year = {2022},
note = {R package version 1.1-13},
url = {https://CRAN.R-project.org/package=BigQuic},
}
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Big Quadratic Inverse Covariance Estimation | BigQuic |
| BigQuic Object Builder | BigQuic_object_builder |
| Class '"BigQuic_object"' | BigQuic_object-class |
| BigQuic Select | BigQuic.select |
| BigQuic C++ Caller | BigQuicHelper |
| Generate Sample | generate_sample |
| Plot | plot.BigQuic_object |
