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-4.7)BigQuic_1.1-13.zip(r-4.6)BigQuic_1.1-13.zip(r-4.5)
BigQuic_1.1-13.tgz(r-4.6-x86_64)BigQuic_1.1-13.tgz(r-4.6-arm64)BigQuic_1.1-13.tgz(r-4.5-x86_64)BigQuic_1.1-13.tgz(r-4.5-arm64)
BigQuic_1.1-13.tar.gz(r-4.7-arm64)BigQuic_1.1-13.tar.gz(r-4.7-x86_64)BigQuic_1.1-13.tar.gz(r-4.6-arm64)BigQuic_1.1-13.tar.gz(r-4.6-x86_64)
BigQuic_1.1-13.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:3f5bb2871f. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 136 | ||
| linux-devel-x86_64 | OK | 138 | ||
| source / vignettes | OK | 187 | ||
| linux-release-arm64 | OK | 140 | ||
| linux-release-x86_64 | OK | 126 | ||
| macos-release-arm64 | OK | 226 | ||
| macos-release-x86_64 | OK | 310 | ||
| macos-oldrel-arm64 | OK | 142 | ||
| macos-oldrel-x86_64 | OK | 454 | ||
| windows-devel | OK | 136 | ||
| windows-release | OK | 138 | ||
| windows-oldrel | OK | 143 | ||
| wasm-release | OK | 95 |
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 |
