Merge pull request #65 from NIEHS/kyle-messier-patch-1

Update README.md

README.md

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-# **PrestoGP**: **P**enalized **Re**gression on **S**patio-**T**emporal **O**utcomes using **G**aussian **P**rocess <a href="https://niehs.github.io/PrestoGP/index.html/"><img src="man/figures/prestoGP-logo.png" align="right" height="139" alt="penalized regression and Gaussian Process plots" /></a>
+ <a href="https://niehs.github.io/PrestoGP/index.html/"><img src="man/figures/prestoGP-logo.png" align="right" height="139" alt="penalized regression and Gaussian Process plots" /></a>
+ <br clear="left"/>
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+# **PrestoGP**: **P**enalized **Re**gression on **S**patio-**T**emporal **O**utcomes using **G**aussian **P**rocess
+
 
 
 [![R-CMD-check](https://github.com/NIEHS/PrestoGP/actions/workflows/check-standard.yaml/badge.svg)](https://github.com/NIEHS/PrestoGP/actions/workflows/check-standard.yaml)
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-# Overview
+# Overview 
 
 PrestoGP is an R package for scalable penalized regression on spatio-temporal outcomes using Gaussian processes. The package includes the methods described in the paper "Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide" by Messier and Katzfuss (2020). The package is designed to handle big data and is useful for large-scale geospatial exposure assessment and geophysical modeling. PrestoGP expands the methods in Messier and Katzfuss (2020) to include the following important feature: