confint,VGMSFH-method

This method computes 95\

Variational Autoencoded Multivariate Spatial Fay-Herriot models are designed to efficiently estimate population parameters in small area estimation. This package implements the variational generalized multivariate spatial Fay-Herriot model (VGMSFH) using 'NumPyro' and 'PyTorch' backends, as demonstrated by Wang, Parker, and Holan (2025) <doi:10.48550/arXiv.2503.14710>. The 'vmsae' package provides utility functions to load weights of the pretrained variational autoencoders (VAEs) as well as tools to train custom VAEs tailored to users specific applications.

Zhenhua Wang

vmsae

Variational Multivariate Spatial Small Area Estimation

Paul A. Parker

Scott H. Holan

confint,VGMSFH-method function

<dl><dt>object</dt>
<dd>An object of class <code>VGMSFH</code>.</dd>
<dt>var_idx</dt>
<dd>Integer. The index of the variable of interest (for multivariate models). Default is <code>1</code>.</dd>
<dt>field</dt>
<dd>Character. The name of the slot to summarize (e.g., <code>"yhat_samples"</code>, <code>"beta_samples"</code>, <code>"phi_samples"</code>). Default is <code>"yhat_samples"</code>.</dd></dl>

Arguments

Compute Credible Intervals for VGMSFH Parameters — confint,VGMSFH-method

<dl>

<dt>object</dt>
<dd>An object of class <code>VGMSFH</code>.</dd>


<dt>var_idx</dt>
<dd>Integer. The index of the variable of interest (for multivariate models). Default is <code>1</code>.</dd>


<dt>field</dt>
<dd>Character. The name of the slot to summarize (e.g., <code>"yhat_samples"</code>, <code>"beta_samples"</code>, <code>"phi_samples"</code>). Default is <code>"yhat_samples"</code>.</dd>

</dl>

confint,VGMSFH-method: Compute Credible Intervals for VGMSFH Parameters

Description

Usage

Value

Arguments

Details

Examples