Package: ebreg 0.1.3

Yiqi Tang

ebreg: Implementation of the Empirical Bayes Method

Implements a Bayesian-like approach to the high-dimensional sparse linear regression problem based on an empirical or data-dependent prior distribution, which can be used for estimation/inference on the model parameters, variable selection, and prediction of a future response. The method was first presented in Martin, Ryan and Mess, Raymond and Walker, Stephen G (2017) <doi:10.3150/15-BEJ797>. More details focused on the prediction problem are given in Martin, Ryan and Tang, Yiqi (2019) <arxiv:1903.00961>.

Authors:Yiqi Tang, Ryan Martin

ebreg_0.1.3.tar.gz
ebreg_0.1.3.tar.gz(r-4.5-noble)ebreg_0.1.3.tar.gz(r-4.4-noble)
ebreg_0.1.3.tgz(r-4.4-emscripten)ebreg_0.1.3.tgz(r-4.3-emscripten)
ebreg.pdf |ebreg.html
ebreg/json (API)

# Install 'ebreg' in R:
install.packages('ebreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

1.70 score 8 scripts 153 downloads 1 exports 3 dependencies

Last updated 4 years agofrom:4de0621ddb. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 12 2024
R-4.5-linuxOKDec 12 2024

Exports:ebreg

Dependencies:larsrbibutilsRdpack