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GEMSS

0.1.2Package record

Generalization Error Minimization in SubSampling for Gaussian Processes

0packages depend
1.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements the GEMSS algorithm for sequential subdata selection in large-scale Gaussian process modeling (Chang, Hua, and Wu, 2026) doi:10.1080/00401706.2026.2670596. The method selects data points by a criterion consisting of predictive and space-filling parts, enabling efficient surrogate modeling for massive datasets.

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-17
  • WARNING4 OK, 3 WARNING2026-05-28
Advisories

none known

Documentation

In release 0.1.2
READMEYes · 118 wordsVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%2 run in a plain check
Exported functions with examples
50%
Documented parameters
85%
Return-value docs
100%
Help pages citing references
50%

Downloads

1.4K
CRAN downloads in the past year
Rank #19,934 · ~4/day · ~115/mo
Daily download trend is not available in this view yet.
23930 days
65990 days
1.4K1 year
Compare downloads with other packages →
Also on83 r2u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing GEMSS adds 7 packages (7 with compiled code, 4.4 MB of source tarballs). Heaviest: Rcpp 1.8 MB, hetGP 1.4 MB, RcppArmadillo 1.0 MB.

Depends (0)
none
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.1 (2026)
Releases (2)

Pick two releases to compare their code metrics.

  • 0.1.2Latest
    record
    2026-07-16 · current release · diff ↗
  • 0.1.1
    record
    first seen 2026-05-27
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First seen
2026-05-27
Total releases
2 / 1 yrs
License
GPL (>= 3) OSI
Download size
17 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("GEMSS")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1080/00401706.2026.2670596.

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 GEMSS version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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