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Spatial Logistic Gaussian Process for Field Density Estimation

0packages depend
3.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides tools for conditional and spatially dependent density estimation using Spatial Logistic Gaussian Processes (SLGPs). The approach represents probability densities through finite-rank Gaussian process priors transformed via a spatial logistic density transformation, enabling flexible non-parametric modeling of heterogeneous data. Functionality includes density prediction, quantile and moment estimation, sampling methods, and preprocessing routines for basis functions. Applications arise in spatial statistics, machine learning, and uncertainty quantification. The methodology builds on the framework of Leonard (1978) doi:10.1111/j.2517-6161.1978.tb01655.x, Lenk (1988) doi:10.1080/01621459.1988.10478625, Tokdar (2007) doi:10.1198/106186007X210206, Tokdar (2010) doi:10.1214/10-BA605, and is further aligned with recent developments in Bayesian non-parametric modelling: see Gautier (2023) https://boristheses.unibe.ch/4377/, and Gautier (2025) doi:10.48550/arXiv.2110.02876).

Install

Health

CRAN checks
13OK
Slowest check: 13.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-29
  • ERROR12 OK, 1 ERROR2026-07-27
  • OK13 OK2026-06-09
Show 5 earlier changesHide 5 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 2.0.0
READMENoVignettesYes · 2 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
33 (13 internal)includes a package overview page
Examples that run
75%6 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples
22%
Documented parameters
100%
Return-value docs
89%
Help pages citing references
6%

Downloads

3.8K
CRAN downloads in the past year
Rank #9,752 · ~10/day · ~317/mo
Daily download trend is not available in this view yet.
40830 days
1K90 days
3.8K1 year
Compare downloads with other packages →
Also on428 r2u2 autocran

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing SLGP adds 51 packages (25 with compiled code, 45 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, loo 2.7 MB.

Depends (1)
R >= 3.5.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0.0 (2025)
Releases (6)

Pick two releases to compare their code metrics.

Package metadata

First published
2025-09-05
Total releases
6 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Download size
274 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SLGP")
Gautier, A. (2026). SLGP: Spatial Logistic Gaussian Process for Field Density Estimation (Version 2.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SLGP

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 SLGP version 2.0.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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