Package: RRRR 1.1.1
RRRR: Online Robust Reduced-Rank Regression Estimation
Methods for estimating online robust reduced-rank regression. The Gaussian maximum likelihood estimation method is described in Johansen, S. (1991) <doi:10.2307/2938278>. The majorisation-minimisation estimation method is partly described in Zhao, Z., & Palomar, D. P. (2017) <doi:10.1109/GlobalSIP.2017.8309093>. The description of the generic stochastic successive upper-bound minimisation method and the sample average approximation can be found in Razaviyayn, M., Sanjabi, M., & Luo, Z. Q. (2016) <doi:10.1007/s10107-016-1021-7>.
Authors:
RRRR_1.1.1.tar.gz
RRRR_1.1.1.zip(r-4.7)RRRR_1.1.1.zip(r-4.6)RRRR_1.1.1.zip(r-4.5)
RRRR_1.1.1.tgz(r-4.6-any)RRRR_1.1.1.tgz(r-4.5-any)
RRRR_1.1.1.tar.gz(r-4.7-any)RRRR_1.1.1.tar.gz(r-4.6-any)
RRRR_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RRRR/json (API)
NEWS
| # Install 'RRRR' in R: |
| install.packages('RRRR', repos = c('https://finyang.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/finyang/rrrr/issues
Pkgdown/docs site:https://pkg.yangzhuoranyang.com
Last updated from:f4353fcd29. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 104 | ||
| source / vignettes | OK | 197 | ||
| linux-release-x86_64 | OK | 96 | ||
| macos-release-arm64 | OK | 95 | ||
| macos-oldrel-arm64 | OK | 79 | ||
| windows-devel | OK | 90 | ||
| windows-release | OK | 65 | ||
| windows-oldrel | OK | 71 | ||
| wasm-release | OK | 99 |
Dependencies:clicpp11expmfarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMatrixmatrixcalcmvtnormR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
