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Latent Variable Gaussian Process Modeling with Qualitative and Quantitative Input Variables

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Siyu TaoCRAN page ↗

Fit response surfaces for datasets with latent-variable Gaussian process modeling, predict responses for new inputs, and plot latent variables locations in the latent space (only 1D or 2D). The input variables of the datasets can be quantitative, qualitative/categorical or mixed. The output variable of the datasets is a scalar (quantitative). The optimization of the likelihood function is done using a successive approximation/relaxation algorithm similar to another GP modeling package "GPM". The modeling method is published in "A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors" by Yichi Zhang, Siyu Tao, Wei Chen, and Daniel W. Apley (2018) doi:10.48550/arXiv.1806.07504. The package is developed in IDEAL of Northwestern University.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-27
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 2.1.6
READMENoVignettesNoNEWSYes · 0% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
29%2 run in a plain check · 5 hold no code
Exported functions with examples
100%
Documented parameters
82%
Return-value docs
83%
Help pages citing references
100%

Downloads

2.6K
CRAN downloads in the past year
Rank #14,221 · ~7/day · ~213/mo
Daily download trend is not available in this view yet.
25630 days
83790 days
2.6K1 year
Compare downloads with other packages →
Also on73 r2u2 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing LVGP adds 4 packages (4 with compiled code, 3.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, randtoolbox 1.4 MB, lhs 238 KB.

Depends (3)
R >= 3.4.0statsparallel
Imports (2)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 2.1.3 (2018)
Author · added in 2.1.5
Author · added in 2.1.5
Releases (4)

Pick two releases to compare their code metrics.

  • 2.1.6Latest
    record
    2026-07-21 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • 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
  • 2.1.5
    record
    2019-01-11 · diff ↗
  • 2.1.4
    record
    2018-11-14 · diff ↗
  • 2.1.3
    record
    2018-07-31
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-07-31
Total releases
4 / 8 yrs
License
GPL-2 OSI
Minimum R
≥ 3.4.0
Bundled data
2.1 KB / 1 file
Download size
15 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LVGP")
Tao, S., Apley, D. W., Chen, W., & Zhang, Y. (2026). LVGP: Latent Variable Gaussian Process Modeling with Qualitative and Quantitative Input Variables (Version 2.1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.LVGP

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LVGP version 2.1.6 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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