candidateModels

Creates an object of class <code>'candidateModels'</code> that
contains a list of candidate models for stacking. The function takes a list
of candidate values for each model parameter and returns a list of possible
combinations of these values based on either simple aggregation or Cartesian
product of indivdual candidate values.

Fits Bayesian hierarchical spatial and spatial-temporal process
models for point-referenced Gaussian, Poisson, binomial, and binary data
using stacking of predictive densities. It involves sampling from
analytically available posterior distributions conditional upon candidate
values of the spatial process parameters and, subsequently assimilate
inference from these individual posterior distributions using Bayesian
predictive stacking. Our algorithm is highly parallelizable and hence, much
faster than traditional Markov chain Monte Carlo algorithms while delivering
competitive predictive performance. See Zhang, Tang, and Banerjee (2025)
<doi:10.48550/arXiv.2304.12414>, and, Pan, Zhang, Bradley, and Banerjee
(2025) <doi:10.48550/arXiv.2406.04655> for details.

Soumyakanti Pan

spStack

Bayesian Geostatistics Using Predictive Stacking

Sudipto Banerjee

candidateModels function

<dl><dt>params_list</dt>
<dd>a list of candidate values for each model parameter. See
examples for details.</dd>
<dt>aggregation</dt>
<dd>a character string specifying the type of aggregation to
be used. Options are <code>'simple'</code> and <code>'cartesian'</code>. Default is
<code>'simple'</code>.</dd></dl>

Arguments

Soumyakanti Pan <a href="/link/span18%40ucla.edu?package=spStack&version=1.1.0" data-mini-rdoc="spStack::span18@ucla.edu">span18@ucla.edu</a>, 
Sudipto Banerjee <a href="/link/sudipto%40ucla.edu?package=spStack&version=1.1.0" data-mini-rdoc="spStack::sudipto@ucla.edu">sudipto@ucla.edu</a>

Author

Create a collection of candidate models for stacking — candidateModels

<dl>

<dt>params_list</dt>
<dd>a list of candidate values for each model parameter. See
examples for details.</dd>


<dt>aggregation</dt>
<dd>a character string specifying the type of aggregation to
be used. Options are <code>'simple'</code> and <code>'cartesian'</code>. Default is
<code>'simple'</code>.</dd>

</dl>

Soumyakanti Pan <a href='mailto:span18@ucla.edu'>span18@ucla.edu</a>, 
Sudipto Banerjee <a href='mailto:sudipto@ucla.edu'>sudipto@ucla.edu</a>

candidateModels: Create a collection of candidate models for stacking

Description

Usage

Value

Arguments

Author

See Also

Examples