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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "savvySh" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'savvySh: Slab and Shrinkage Linear Regression Estimation'
version: 0.1.1
doi: 10.32614/CRAN.package.savvySh
abstract: Implements a suite of shrinkage estimators for multivariate linear regression
  to improve estimation stability and predictive accuracy. Provides methods including
  the Stein estimator, Diagonal Shrinkage, the general Shrinkage estimator (solving
  a Sylvester equation), and Slab Regression (Simple and Generalized). These methods
  address Stein's paradox by introducing structured bias to reduce variance without
  requiring cross-validation, except for 'ShrinkageRR' where the intensity is chosen
  by minimizing an explicit Mean Squared Error (MSE) criterion. Methods are based
  on Asimit, V., Cidota, M. A., Chen, Z., and Asimit, J. (2025) <https://openaccess.city.ac.uk/id/eprint/35005/>.
authors:
- family-names: Chen
  given-names: Ziwei
  email: Ziwei.Chen.3@citystgeorges.ac.uk
  orcid: https://orcid.org/0009-0009-6376-3850
- family-names: Asimit
  given-names: Vali
  email: asimit@citystgeorges.ac.uk
  orcid: https://orcid.org/0000-0002-7706-0066
- family-names: Cidota
  given-names: Marina Anca
  email: cidota@fmi.unibuc.ro
  orcid: https://orcid.org/0009-0004-9505-7233
- family-names: Asimit
  given-names: Jennifer
  email: jennifer.asimit@mrc-bsu.cam.ac.uk
  orcid: https://orcid.org/0000-0002-4857-2249
repository: https://ziwei-chenchen.r-universe.dev
repository-code: https://github.com/Ziwei-ChenChen/savvySh
commit: 1c8076bce3971f2a3ade6496bcce7456db9c926d
url: https://Ziwei-ChenChen.github.io/savvySh
date-released: '2026-03-18'
contact:
- family-names: Chen
  given-names: Ziwei
  email: Ziwei.Chen.3@citystgeorges.ac.uk
  orcid: https://orcid.org/0009-0009-6376-3850