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✨
DESCRIPTION
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:7 OK, 6 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 161 | ||
| linux-devel-x86_64 | OK | 136 | ||
| source / vignettes | OK | 281 | ||
| linux-release-arm64 | OK | 172 | ||
| linux-release-x86_64 | OK | 177 | ||
| macos-release-arm64 | FAIL | 85 | ||
| macos-release-x86_64 | FAIL | 219 | ||
| macos-oldrel-arm64 | FAIL | 104 | ||
| macos-oldrel-x86_64 | FAIL | 216 | ||
| windows-devel | OK | 140 | ||
| windows-release | FAIL | 52 | ||
| windows-oldrel | FAIL | 58 | ||
| wasm-release | OK | 110 |
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 |
