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plgp

1.1-13

Particle Learning of Gaussian Processes

6packages depend
6.7Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Robert B. GramacyFirst published 2010-05-0114 releasesCRAN page ↗

Sequential Monte Carlo (SMC) inference for fully Bayesian Gaussian process (GP) regression and classification models by particle learning (PL) following Gramacy & Polson (2011) doi:10.48550/arXiv.0909.5262. The sequential nature of inference and the active learning (AL) hooks provided facilitate thrifty sequential design (by entropy) and optimization (by improvement) for classification and regression models, respectively. This package essentially provides a generic PL interface, and functions (arguments to the interface) which implement the GP models and AL heuristics. Functions for a special, linked, regression/classification GP model and an integrated expected conditional improvement (IECI) statistic provide for optimization in the presence of unknown constraints. Separable and isotropic Gaussian, and single-index correlation functions are supported. See the examples section of ?plgp and demo(package="plgp") for an index of demos.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    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 siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
93%
References docs
93%

Downloads

6.7K
CRAN downloads in the past year
Rank #7,524 · ~18/day · ~557/mo
Daily download trend is not available in this view yet.
27530 days
1.2K90 days
6.7K1 year
Compare downloads with other packages →
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Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (3)
R >= 2.4mvtnormtgp
Imports (0)
none
LinkingTo (0)
none
Suggests (4)
Enhances (0)
none
Reverse dependencies
6direct
0indirect

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Listed in earlier versions (1)
no longer listed · 1.1-13
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1-13Latest
    2026-01-21 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1-12
    2022-10-19 · diff ↗
  • 1.1-11
    2022-06-10 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1-10
    2022-04-18 · diff ↗
  • 1.1-9
    2022-04-06 · diff ↗
  • 1.1-8
    2022-03-31 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
Show 17 earlier events
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.1-7
    2014-12-02 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
  • 1.1-5
    2012-07-24 · diff ↗
  • R
    R 2.15.0 released · 2012-03-30
  • 1.1-4
    2012-01-21 · diff ↗
  • R
    R 2.14.0 released · 2011-10-31
  • 1.1-3
    2011-09-03 · diff ↗
  • 1.1-2
    2011-08-23 · diff ↗
  • R
    R 2.13.0 released · 2011-04-13
  • 1.1-1
    2011-04-08 · diff ↗
  • R
    R 2.12.0 released · 2010-10-15
  • 1.1
    2010-09-21 · diff ↗
  • 1.0
    2010-05-01
  • R
    R 2.11.0 released · 2010-04-22

Package metadata

First published
2010-05-01
Total releases
14 / 16 yrs
License
LGPL
Minimum R
≥ 2.4
Download size
54 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("plgp")
Gramacy, R. B. (2026). plgp: Particle Learning of Gaussian Processes (Version 1.1-13) [Computer software]. https://doi.org/10.32614/CRAN.package.plgp

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 plgp version 1.1-13 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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