Package: BigQuic 1.1-13
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.zip(r-4.5)BigQuic_1.1-13.zip(r-4.4)BigQuic_1.1-13.zip(r-4.3)
BigQuic_1.1-13.tgz(r-4.4-x86_64)BigQuic_1.1-13.tgz(r-4.4-arm64)BigQuic_1.1-13.tgz(r-4.3-x86_64)BigQuic_1.1-13.tgz(r-4.3-arm64)
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 = c('https://kkunji.r-universe.dev', '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:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win-x86_64 | OK | Oct 27 2024 |
| R-4.5-linux-x86_64 | OK | Oct 27 2024 |
| R-4.4-win-x86_64 | OK | Oct 27 2024 |
| R-4.4-mac-x86_64 | OK | Oct 27 2024 |
| R-4.4-mac-aarch64 | OK | Oct 27 2024 |
| R-4.3-win-x86_64 | OK | Oct 27 2024 |
| R-4.3-mac-x86_64 | OK | Oct 27 2024 |
| R-4.3-mac-aarch64 | OK | Oct 27 2024 |
Exports:BigQuicBigQuic.select
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 |
