<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>ruizhehou.r-universe.dev</title><link>https://ruizhehou.r-universe.dev</link><description>Recent package updates in ruizhehou</description><generator>R-universe</generator><image><url>https://github.com/ruizhehou.png</url><title>R packages by ruizhehou</title><link>https://ruizhehou.r-universe.dev</link></image><lastBuildDate>Wed, 15 May 2019 09:17:17 GMT</lastBuildDate><item><title>[ruizhehou] MOLHD 0.2</title><author>houruizhe1210@gmail.com (Ruizhe Hou)</author><description>Generate the optimal maximin distance, minimax distance
(only for low dimensions), and maximum projection designs
within the class of Latin hypercube designs efficiently for
computer experiments. Generate Pareto front optimal designs for
each two of the three criteria and all the three criteria
within the class of Latin hypercube designs efficiently.
Provide criterion computing functions. References of this
package can be found in Morris, M. D. and Mitchell, T. J.
(1995) &lt;doi:10.1016/0378-3758(94)00035-T&gt;, Lu Lu and Christine
M. Anderson-CookTimothy J. Robinson (2011)
&lt;doi:10.1198/Tech.2011.10087&gt;, Joseph, V. R., Gul, E., and Ba,
S. (2015) &lt;doi:10.1093/biomet/asv002&gt;.</description><link>https://github.com/r-universe/ruizhehou/actions/runs/26808424063</link><pubDate>Wed, 15 May 2019 09:17:17 GMT</pubDate><r:package>MOLHD</r:package><r:version>0.2</r:version><r:status>success</r:status><r:repository>https://ruizhehou.r-universe.dev</r:repository><r:upstream>https://github.com/ruizhehou/molhd</r:upstream></item></channel></rss>