pre_comput_NN

Computes intermediate quantities for evaluating SLGP basis functions using
Nearest Neighbor (NN) interpolation over a regular grid in the normalized domain.

internal

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>).

Athénaïs Gautier

SLGP

Spatial Logistic Gaussian Process for Field Density Estimation

pre_comput_NN function

<dl><dt>normalizedData</dt>
<dd>A normalized data frame (values in \([0,1]\)).</dd>
<dt>predictorNames</dt>
<dd>Character vector of covariate names.</dd>
<dt>responseName</dt>
<dd>Name of the response variable.</dd>
<dt>nIntegral</dt>
<dd>Number of grid points for discretizing the response domain.</dd>
<dt>nDiscret</dt>
<dd>Number of grid points for discretizing the covariate domain.</dd></dl>

Arguments

pre_comput_NN: Precompute quantities for SLGP basis evaluation with nearest-neighbor interpolation — pre_comput_NN

<dl>

<dt>normalizedData</dt>
<dd>A normalized data frame (values in \([0,1]\)).</dd>


<dt>predictorNames</dt>
<dd>Character vector of covariate names.</dd>


<dt>responseName</dt>
<dd>Name of the response variable.</dd>


<dt>nIntegral</dt>
<dd>Number of grid points for discretizing the response domain.</dd>


<dt>nDiscret</dt>
<dd>Number of grid points for discretizing the covariate domain.</dd>

</dl>

pre_comput_NN: pre_comput_NN: Precompute quantities for SLGP basis evaluation with nearest-neighbor interpolation

Description

Usage

Value

Arguments