convergence_diag

Check effective sample size and geweke diagnostic

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

convergence_diag function

<dl><dt>out</dt>
<dd>Output from BSTFA or BSTFAfull.</dd>
<dt>type</dt>
<dd>Character specifying which diagnostic to compute. Options are <code>ess</code> and <code>geweke</code>.</dd>
<dt>cutoff</dt>
<dd>Numeric scalar indicating the cutoff value to flag parameters that haven't converged.</dd></dl>

Arguments

Author

Check effective sample size and geweke diagnostic — convergence_diag

<dl>

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


<dt>type</dt>
<dd>Character specifying which diagnostic to compute. Options are <code>ess</code> and <code>geweke</code>.</dd>


<dt>cutoff</dt>
<dd>Numeric scalar indicating the cutoff value to flag parameters that haven't converged.</dd>

</dl>

convergence_diag: Check effective sample size and geweke diagnostic

Description

Usage

Value

Arguments

Author

Examples