WestStates

A sp map data of the western states in United States

datasets

Bayesian factor models are effective tools for dimension reduction. This is especially applicable to multivariate large-scale datasets. It allows researchers to understand the latent factors of the data which are the linear or non-linear combination of the variables. Dynamic Intrinsic Conditional Autocorrelative Priors (ICAR) Spatiotemporal Factor Models 'DIFM' package provides function to run Markov Chain Monte Carlo (MCMC), evaluation methods and visual plots from Shin and Ferreira (2023)<doi:10.1016/j.spasta.2023.100763>. Our method is a class of Bayesian factor model which can account for spatial and temporal correlations. By incorporating these correlations, the model can capture specific behaviors and provide predictions.

Hwasoo Shin

DIFM

Dynamic ICAR Spatiotemporal Factor Models

Marco Ferreira

WestStates function

## `WestStates`
A SpatialPolygonsDataFrame data of the western states in United States<dl>
 <dt>FID</dt>
<dd>The number ID of the western states</dd> <dt>State_Code</dt>
<dd>Abbreviations of the state names</dd> <dt>State_Name</dt>
<dd>Names of the states</dd> A SpatialPolygonsDataFrame data of the western states in United States</dl>

Format

Westen states in United States — WestStates

## `WestStates`
A SpatialPolygonsDataFrame data of the western states in United States<dl>
 <dt>FID</dt>
<dd>The number ID of the western states</dd>

 <dt>State_Code</dt>
<dd>Abbreviations of the state names</dd>

 <dt>State_Name</dt>
<dd>Names of the states</dd>

 A SpatialPolygonsDataFrame data of the western states in United States

</dl>

WestStates: Westen states in United States

Description

Usage

Arguments

Format