dmfnchypg

Density function for multivariate non-central hypergeometric

internal

Implements atom-based regression models (ABRM) for analyzing spatially
misaligned data. Provides functions for simulating misaligned spatial data,
preparing NIMBLE model inputs, running MCMC diagnostics, and providing results. All main functions return
S3 objects with print(), summary(), and plot() methods for intuitive result exploration.
Methods originally described in Mugglin et al. (2000) <doi:10.1080/01621459.2000.10474279>,
further investigated in Trevisani & Gelfand (2013), and applied in Nethery et al. (2023)
<doi:10.1101/2023.01.10.23284410>.

Yunzhe Qian

spatialAtomizeR

Spatial Analysis with Misaligned Data Using Atom-Based
Regression Models

Rachel Nethery

Nancy Krieger

Nykesha Johnson

dmfnchypg function

<dl><dt>x</dt>
<dd>Vector of counts</dd>
<dt>total</dt>
<dd>Total number of items</dd>
<dt>odds</dt>
<dd>Vector of odds</dd>
<dt>ni</dt>
<dd>Vector of category sizes</dd>
<dt>log</dt>
<dd>Logical, return log probability</dd></dl>

Arguments

Density function for multivariate non-central hypergeometric — dmfnchypg

<dl>

<dt>x</dt>
<dd>Vector of counts</dd>


<dt>total</dt>
<dd>Total number of items</dd>


<dt>odds</dt>
<dd>Vector of odds</dd>


<dt>ni</dt>
<dd>Vector of category sizes</dd>


<dt>log</dt>
<dd>Logical, return log probability</dd>

</dl>

dmfnchypg: Density function for multivariate non-central hypergeometric

Description

Usage

Value

Arguments