^- (L^-)'\)</span> while the concentration matrix (the inverse covariances matrix) is <span class="math inline">\(K=v^{-2}L' L\)</span>.</p>
<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span class="fu"><a href="../reference/def_sym.html">def_sym</a></span><span class="op">(</span><span class="va">v2</span><span class="op">)</span>
<span class="va">L1inv</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/linalg.html">inv</a></span><s