makePredS

Create a matrix of bisquare bases for new locations. Used internally within the <code>predictBSTFA</code> function. Currently only implemented for 2-dimensional coordinates.

Implements Bayesian spatio-temporal factor analysis models for multivariate data observed across space and time. The package provides tools for model fitting via Markov chain Monte Carlo (MCMC), spatial and temporal interpolation, and visualization of latent factors and loadings to support inference and exploration of underlying spatio-temporal patterns. Designed for use in environmental, ecological, or public health applications, with support for posterior prediction and uncertainty quantification. Includes functions such as BSTFA() for model fitting and plot_factor() to visualize the latent processes. Functions are based on and extended from methods described in Berrett, et al. (2020) <doi:10.1002/env.2609>.

Candace Berrett

BSTFA

Bayesian Spatio-Temporal Factor Analysis Model

Adam Simpson

makePredS function

<dl><dt>out</dt>
<dd>Output object from <code>BSTFA</code> or <code>BSTFAfull</code> functions.</dd>
<dt>location</dt>
<dd>Matrix of coordinates for the new locations.</dd></dl>

Arguments

Author

Create a matrix of bisquare bases for new locations. — makePredS

<dl>

<dt>out</dt>
<dd>Output object from <code>BSTFA</code> or <code>BSTFAfull</code> functions.</dd>


<dt>location</dt>
<dd>Matrix of coordinates for the new locations.</dd>

</dl>

makePredS: Create a matrix of bisquare bases for new locations.

Description

Usage

Value

Arguments

Author