plot_factor

Plot the temporally-dependent factors.

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

plot_factor function

<dl><dt>out</dt>
<dd>Output from BSTFA or BSTFAfull.</dd>
<dt>factor</dt>
<dd>Integer or vector of integers specifying which factor(s) to plot.</dd>
<dt>together</dt>
<dd>If <code>length(factor)&gt;1</code>, logical scalar specifying whether to plot all factors on a single plot. Default is <code>FALSE</code>.</dd>
<dt>include.legend</dt>
<dd>If <code>length(factor)&gt;1</code> and <code>together=TRUE</code>, a logical scalar specifying whether to include a legend. Default is <code>TRUE</code>.</dd>
<dt>type</dt>
<dd>One of <code>mean</code> (default), <code>median</code>, <code>ub</code>, or <code>lb</code> indicating which summary statistic to plot at each location.</dd>
<dt>uncertainty</dt>
<dd>Logical scalar indicating whether to include lower and upper credible interval bounds for the parameter. Default is <code>FALSE</code>.</dd>
<dt>ci.level</dt>
<dd>A vector of length 2 specifying the quantiles to use for lower and upper bounds for <code>type='lb'</code>, <code>type='ub'</code>, or <code>uncertainty=TRUE</code>.</dd>
<dt>xrange</dt>
<dd>A date vector of length 2 providing the lower and upper bounds of the dates to include in the plot.</dd></dl>

Arguments

Author

Plot the temporally-dependent factors. — plot_factor

<dl>

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


<dt>factor</dt>
<dd>Integer or vector of integers specifying which factor(s) to plot.</dd>


<dt>together</dt>
<dd>If <code>length(factor)&gt;1</code>, logical scalar specifying whether to plot all factors on a single plot. Default is <code>FALSE</code>.</dd>


<dt>include.legend</dt>
<dd>If <code>length(factor)&gt;1</code> and <code>together=TRUE</code>, a logical scalar specifying whether to include a legend. Default is <code>TRUE</code>.</dd>


<dt>type</dt>
<dd>One of <code>mean</code> (default), <code>median</code>, <code>ub</code>, or <code>lb</code> indicating which summary statistic to plot at each location.</dd>


<dt>uncertainty</dt>
<dd>Logical scalar indicating whether to include lower and upper credible interval bounds for the parameter. Default is <code>FALSE</code>.</dd>


<dt>ci.level</dt>
<dd>A vector of length 2 specifying the quantiles to use for lower and upper bounds for <code>type='lb'</code>, <code>type='ub'</code>, or <code>uncertainty=TRUE</code>.</dd>


<dt>xrange</dt>
<dd>A date vector of length 2 providing the lower and upper bounds of the dates to include in the plot.</dd>

</dl>

plot_factor: Plot the temporally-dependent factors.

Description

Usage

Value

Arguments

Author

Examples