Skip to content

SLGP

1.0.2

Spatial Logistic Gaussian Process for Field Density Estimation

0packages depend
3.7Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Athénaïs GautierFirst published 2025-09-053 releasesCRAN page ↗

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: 22.2 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
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
  • OK2026-07-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-27
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 5 earlier snapshots
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
88%
References docs
14%

Downloads

3.7K
CRAN downloads in the past year
Rank #15,888 · ~10/day · ~311/mo
Daily download trend is not available in this view yet.
17930 days
66490 days
3.7K1 year
Compare downloads with other packages →
Also on388 r2u26 autocran

Dependencies

Declared dependencies
19 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.5.0stats
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

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    2026-02-17 · current release · diff ↗
  • 1.0.1
    2026-01-20 · diff ↗
  • 1.0.0
    2025-09-05
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-09-05
Total releases
3 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Download size
1.4 MB
Installed size
not tracked yet
With dependencies
not tracked yet

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 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.SLGP

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 SLGP version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy