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(This article was first published on <strong><a href="https://r-nimble.org/nimble-webinar-friday-april-13"> R – NIMBLE</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<div>We’ll be presenting a webinar on NIMBLE, hosted by the Eastern North America Region of the International Biometric Society. Details are as follows.</div>
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<div><strong>Programming with hierarchical statistical models: An introduction to the BUGS-compatible <span>NIMBLE</span> system for MCMC and more</strong></div>
<div>Friday, April 13, 2018</div>
<div>11:00 a.m. – 1:00 p.m. EST</div>
<div>Must register before <span data-term="goog_68516275" tabindex="0"><span>April 12. You can register <a rel="nofollow" href="https://portal.enar.org/Events/SelectRegType.aspx?EventCode=WEB041318" target="_blank">here</a>. (You’ll need to create an account on the ENAR website and there is a modest fee – from $25 for ENAR student members up through $85 for non-IBS members.)</span></span></div>
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<div align="justify">This webinar will introduce attendees to the <span>NIMBLE</span> system for programming with hierarchical models in R. <span>NIMBLE</span> (<a rel="nofollow" href="http://r-nimble.org/" data-saferedirecturl="https://www.google.com/url?hl=en&amp;q=http://r-nimble.org/&amp;source=gmail&amp;ust=1521681160712000&amp;usg=AFQjCNFSv4IaWqXRBqFmVZ3JzA6SJB6u7A" target="_blank">r-<span>nimble</span>.org</a>) is a system for flexible programming and dissemination of algorithms that builds on the BUGS language for declaring hierarchical models. <span>NIMBLE</span> provides analysts with a flexible system for using MCMC, sequential Monte Carlo and other techniques on user-specified models. It provides developers and methodologists with the ability to write algorithms in an R-like syntax that can be easily disseminated to users. C++ versions of models and algorithms are created for speed, but these are manipulated from R without any need for analysts or algorithm developers to program in C++.<span> </span>
<p>While analysts can use <span>NIMBLE</span> as a drop-in replacement for WinBUGS or JAGS, <span>NIMBLE</span> provides greatly enhanced functionality in a number of ways. The webinar will first show how to specify a hierarchical statistical model using BUGS syntax (including user-defined function and distributions) and fit that model using MCMC (including user customization for better performance). We will demonstrate the use of <span>NIMBLE</span> for biostatistical methods such as semiparametric random effects models and clustering models. We will close with a discussion of how to use the system to write algorithms for use with hierarchical models, including building and disseminating your own methods.</div>
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<div align="center"><strong>Presenter:</strong></div>
<div align="center">Chris Paciorek<br>
Adjunct Professor, Statistical Computing Consultant<br>
Department of Statistics, University of California, Berkeley</div>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://r-nimble.org/nimble-webinar-friday-april-13"> R – NIMBLE</a></strong>.</div>
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