makeNewS

Create a matrix of bisquare bases for a set of locations. Used internally in <code>BSTFA</code> and <code>BSTFAfull</code>.

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

makeNewS function

<dl><dt>coords</dt>
<dd>Matrix of coordinates for locations of interest.</dd>
<dt>n.locations</dt>
<dd>Number of observed locations.</dd>
<dt>knot.levels</dt>
<dd>Number of levels for the knots. Default is 2.</dd>
<dt>max.knot.dist</dt>
<dd>Maximum distance between an observation and a knot. Default is <code>mean(dist(coords))</code>.</dd>
<dt>x</dt>
<dd>Optional matrix of covariates to include in the model.</dd>
<dt>premade.knots</dt>
<dd>Optional list of length <code>knot.levels</code> each list item containing pre-chosen knots for that level.</dd>
<dt>plot.knots</dt>
<dd>Logical scalar indicating whether or not to plot the knots. Default is <code>FALSE</code>.</dd>
<dt>regions</dt>
<dd>Logical scalar indicating if the space should be divided into multiresolution regions. Default is <code>FALSE</code>.</dd></dl>

Arguments

Author

Create a matrix of bisquare bases for a set of locations. — makeNewS

<dl>

<dt>coords</dt>
<dd>Matrix of coordinates for locations of interest.</dd>


<dt>n.locations</dt>
<dd>Number of observed locations.</dd>


<dt>knot.levels</dt>
<dd>Number of levels for the knots. Default is 2.</dd>


<dt>max.knot.dist</dt>
<dd>Maximum distance between an observation and a knot. Default is <code>mean(dist(coords))</code>.</dd>


<dt>x</dt>
<dd>Optional matrix of covariates to include in the model.</dd>


<dt>premade.knots</dt>
<dd>Optional list of length <code>knot.levels</code> each list item containing pre-chosen knots for that level.</dd>


<dt>plot.knots</dt>
<dd>Logical scalar indicating whether or not to plot the knots. Default is <code>FALSE</code>.</dd>


<dt>regions</dt>
<dd>Logical scalar indicating if the space should be divided into multiresolution regions. Default is <code>FALSE</code>.</dd>

</dl>

makeNewS: Create a matrix of bisquare bases for a set of locations.

Description

Usage

Value

Arguments

Author