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shrinkGPR

2.0.0

Scalable Gaussian Process Regression with Hierarchical Shrinkage Priors

0packages depend
3.3Kdownloads / year
0.3%test coverage
13/13checks pass

Overview

About
Maintained by Peter KnausFirst published 2025-01-304 releasesCRAN page ↗

Efficient variational inference methods for fully Bayesian univariate and multivariate Gaussian and t-process regression models. Hierarchical shrinkage priors, including the triple gamma prior, are used for effective variable selection and covariance shrinkage in high-dimensional settings. The package leverages normalizing flows to approximate complex posterior distributions. For details on implementation, see Knaus (2025) doi:10.48550/arXiv.2501.13173.

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.10
0.3%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
17%
Documented parameters
100%
Return-value docs
100%
References docs
9%

Downloads

3.3K
CRAN downloads in the past year
Rank #9,710 · ~9/day · ~272/mo
Daily download trend is not available in this view yet.
15930 days
99690 days
3.3K1 year
Compare downloads with other packages →
Also on87 r2u13 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (7)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.0.0Latest
    2026-03-30 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-03-30
  • archivedRemoved from CRAN
    2026-03-30
    issues were not corrected in time
  • 1.1.1
    2025-10-01 · diff ↗
  • 1.1
    2025-08-19 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.0
    2025-01-30
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-01-30
Total releases
4 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Download size
53 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("shrinkGPR")
Knaus, P. (2026). shrinkGPR: Scalable Gaussian Process Regression with Hierarchical Shrinkage Priors (Version 2.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.shrinkGPR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for shrinkGPR version 2.0.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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