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:Sergio Perez-Elizalde Developer [aut], Blanca Monroy-Castillo Developer [aut, cre], Paulino Perez-Rodriguez User [ctb], Jose Crossa User [ctb]

HDBRR_1.1.4.tar.gz
HDBRR_1.1.4.zip(r-4.5)HDBRR_1.1.4.zip(r-4.4)HDBRR_1.1.4.zip(r-4.3)
HDBRR_1.1.4.tgz(r-4.5-any)HDBRR_1.1.4.tgz(r-4.4-any)HDBRR_1.1.4.tgz(r-4.3-any)
HDBRR_1.1.4.tar.gz(r-4.5-noble)HDBRR_1.1.4.tar.gz(r-4.4-noble)
HDBRR_1.1.4.tgz(r-4.4-emscripten)HDBRR_1.1.4.tgz(r-4.3-emscripten)
HDBRR.pdf |HDBRR.html✨
HDBRR/json (API)

# Install 'HDBRR' in R:

install.packages('HDBRR', repos = c('https://castlemon.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

X - Durum Wheat X
pheno - Durum Wheat

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 scripts 257 downloads 8 exports 48 dependencies

Last updated 2 years agofrom:b672266198. Checks:3 OK, 5 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 13 2025
R-4.5-win	NOTE	Feb 13 2025
R-4.5-mac	NOTE	Feb 13 2025
R-4.5-linux	NOTE	Feb 13 2025
R-4.4-win	NOTE	Feb 13 2025
R-4.4-mac	NOTE	Feb 13 2025
R-4.3-win	OK	Feb 13 2025
R-4.3-mac	OK	Feb 13 2025

Exports:coef.HDBRR HDBRR matop plot.HDBRR predict.HDBRR print.HDBRR print.summary.HDBRR summary.HDBRR

Dependencies:bigassertr bigparallelr bigstatsr bit cli codetools colorspace cowplot doParallel fansi farver ff flock foreach ggplot2 glue gtable isoband iterators labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme numDeriv parallelly pillar pkgconfig ps R6 RColorBrewer Rcpp RcppArmadillo RcppEigen RhpcBLASctl rlang rmio RSpectra scales tibble utf8 vctrs viridisLite withr

HDBRR-extdoc

Rendered fromHDBRR.Rnwusingutils::Sweaveon Feb 13 2025.

Last update: 2022-10-05
Started: 2021-08-13

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

Package: HDBRR 1.1.4

HDBRR: High Dimensional Bayesian Ridge Regression without MCMC

HDBRR-extdoc

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)