Spatial Logistic Gaussian Process for Field Density Estimation
Overview
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
- 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
Documentation
- 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
Dependencies
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.
Code & Tests
People & History
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
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