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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "SLGP" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'SLGP: Spatial Logistic Gaussian Process for Field Density Estimation'
version: 1.0.2
doi: 10.32614/CRAN.package.SLGP
abstract: '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) <https://doi.org/10.1111/j.2517-6161.1978.tb01655.x>,
  Lenk (1988) <https://doi.org/10.1080/01621459.1988.10478625>, Tokdar (2007) <https://doi.org/10.1198/106186007X210206>,
  Tokdar (2010) <https://doi.org/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) <https://doi.org/10.48550/arXiv.2110.02876>).'
authors:
- family-names: Gautier
  given-names: Athénaïs
  email: athenais.gautier@onera.fr
repository: https://cran.r-universe.dev
commit: c5eaf0e104e001ec82d71f5eb721099c215867c7
date-released: '2026-02-17'
contact:
- family-names: Gautier
  given-names: Athénaïs
  email: athenais.gautier@onera.fr