Package: SOPC 0.1.0
SOPC: The Sparse Online Principal Component Estimation Algorithm
The sparse online principal component can not only process the online data set, but also obtain a sparse solution of the online data set. The philosophy of the package is described in Guo G. (2022) <doi:10.1007/s00180-022-01270-z>.
Authors:
SOPC_0.1.0.tar.gz
SOPC_0.1.0.zip(r-4.7)SOPC_0.1.0.zip(r-4.6)SOPC_0.1.0.zip(r-4.5)
SOPC_0.1.0.tgz(r-4.6-any)SOPC_0.1.0.tgz(r-4.5-any)
SOPC_0.1.0.tar.gz(r-4.7-any)SOPC_0.1.0.tar.gz(r-4.6-any)
SOPC_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SOPC/json (API)
| # Install 'SOPC' in R: |
| install.packages('SOPC', repos = c('https://guangbaog.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:2b427ff84c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | OK | 168 | ||
| linux-release-x86_64 | OK | 112 | ||
| macos-release-arm64 | OK | 109 | ||
| macos-oldrel-arm64 | OK | 93 | ||
| windows-devel | OK | 67 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 64 | ||
| wasm-release | OK | 94 |
Exports:%>%IPCOPCPCPPCSAPCSOPCSPC
Dependencies:elasticnetlarsmagrittr
