Package: HDBRR 1.1.4
HDBRR: High Dimensional Bayesian Ridge Regression without MCMC
Ridge regression provide biased estimators of the regression parameters with lower variance. The HDBRR ("High Dimensional Bayesian Ridge Regression") function fits Bayesian Ridge regression without MCMC, this one uses the SVD or QR decomposition for the posterior computation.
Authors:
HDBRR_1.1.4.tar.gz
HDBRR_1.1.4.zip(r-4.7)HDBRR_1.1.4.zip(r-4.6)HDBRR_1.1.4.zip(r-4.5)
HDBRR_1.1.4.tgz(r-4.6-any)HDBRR_1.1.4.tgz(r-4.5-any)
HDBRR_1.1.4.tar.gz(r-4.7-any)HDBRR_1.1.4.tar.gz(r-4.6-any)
HDBRR_1.1.4.tgz(r-4.5-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
HDBRR/json (API)
| # Install 'HDBRR' in R: |
| install.packages('HDBRR', repos = c('https://castlemon.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:b672266198. Checks:7 NOTE, 1 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 131 | ||
| source / vignettes | OK | 151 | ||
| linux-release-x86_64 | NOTE | 131 | ||
| macos-release-arm64 | NOTE | 86 | ||
| macos-oldrel-arm64 | NOTE | 90 | ||
| windows-devel | NOTE | 109 | ||
| windows-release | NOTE | 86 | ||
| windows-oldrel | NOTE | 84 | ||
| wasm-release | FAIL | 108 |
Exports:coef.HDBRRHDBRRmatopplot.HDBRRpredict.HDBRRprint.HDBRRprint.summary.HDBRRsummary.HDBRR
Dependencies:bigassertrbigparallelrbigstatsrbitclicodetoolscowplotcpp11doParallelfarverffflockforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixnumDerivparallellypillarpkgconfigpsR6RColorBrewerRcppRcppArmadilloRcppEigenRhpcBLASctlrlangrmioRSpectraS7scalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| High Dimensional Bayesian Ridge Regression without MCMC. | coef.HDBRR HDBRR plot.HDBRR predict.HDBRR print.HDBRR print.summary.HDBRR summary.HDBRR |
| matop | matop |
| Durum Wheat | pheno |
| Durum wheat dataset | phenowheat |
| Durum Wheat X | X |
