R Observatory: Metrics for savvySh version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

savvySh

0.1.1Package record

Slab and Shrinkage Linear Regression Estimation

0packages depend

3.1Kdownloads / year

97.3%test coverage

13/13flavors OK

Overview

About

Maintained by Ziwei ChenCRAN page ↗GitHub ↗Website ↗Issues ↗

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/.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("savvySh", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ziwei-chenchen/savvySh")

Development version from ziwei-chenchen/savvySh. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-savvysh

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-savvySh

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-savvySh

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.1 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK, 1 FAILURE2026-06-08
ERROR12 OK, 1 ERROR2026-06-07
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 371 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes · pkgdown

Help pages: 5
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 20%

Vignettes (1)

`savvySh`: Shrinkage Methods for Linear Regression Estimation HTML

How these are measured

Downloads

3.1K

CRAN downloads in the past year

Rank #14,361 · ~8/day · ~255/mo

Releases R versions

Daily download trend is not available in this view yet.

29730 days

82790 days

3.1K1 year

Compare downloads with other packages →

Also on48 r2u3 autocran

How downloads are counted

Repository

ziwei-chenchen/savvysh ↗Account: Ziwei-ChenChen

2Stars

0Forks

0Open issues

0Open PRs

0Releases

49Commits

1Commit identities

License file reads as GPL-3.0 · 49 commits · Last activity 2026-03-18 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2025-06-16 · 12026-07-07 · 2

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/ziwei-chenchen/savvysh on 2026-10-21.

Docs source (2)

pkgdown

GitHub Pages site last deployed 2026-03-18

pkgdown site last built 2026-03-18

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing savvySh adds 8 packages (5 with compiled code, 7.4 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)

R >= 3.6.0

Imports (6)

MatrixglmnetMASSexpm mnormtstats

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Ziwei Chen

Author, Maintainer since 0.1.0 (2026)

Jennifer Asimit

Author

Vali Asimit

Author

Marina Anca Cidota

Author

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.1.1Latest
record
2026-03-08 · current release · diff ↗
0.1.0
record
2026-03-03
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-03
Total releases: 2 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.6.0
Download size: 72 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("savvySh")

Format

Chen, Z., Asimit, J., Asimit, V., & Cidota, M. A. (2026). savvySh: Slab and Shrinkage Linear Regression Estimation (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.savvySh

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for savvySh version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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