<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/power-analysis-for-longitudinal-multilevel-models-powerlmm-0-3-0-is-now-out-on-cran/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://rpsychologist.com/powerlmm-0-3-0"> R Psychologist - R</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>My R package <strong>powerlmm</strong> 0.3.0 is now out on CRAN. It can be installed from CRAN <a rel="nofollow" href="https://cran.r-project.org/package=powerlmm" target="_blank">https://cran.r-project.org/package=powerlmm</a> or GitHub <a rel="nofollow" href="https://github.com/rpsychologist/powerlmm" target="_blank">https://github.com/rpsychologist/powerlmm</a>.</p>
<h2>New features</h2>
<p>This version adds support for raw effect sizes, and new standardized effect sizes using the function <code>cohend(...)</code>. Here’s an example that use the different types. </p>
<div>
<pre><span></span>p <span>&lt;-</span> study_parameters<span>(</span>n1 <span>=</span> <span>11</span><span>,</span>
                      n2 <span>=</span> <span>25</span><span>,</span>
                      icc_pre_subject <span>=</span> <span>0.5</span><span>,</span>
                      var_ratio <span>=</span> <span>0.03</span><span>,</span>
                      effect_size <span>=</span> <span>c</span><span>(</span><span>10</span><span>,</span> <span># raw</span>
                                     cohend<span>(</span><span>0.5</span><span>,</span> standardizer <span>=</span> <span>&quot;pretest_SD&quot;</span><span>),</span>
                                     cohend<span>(</span><span>0.5</span><span>,</span> standardizer <span>=</span> <span>&quot;posttest_SD&quot;</span><span>),</span>
                                     cohend<span>(</span><span>0.5</span><span>,</span> standardizer <span>=</span> <span>&quot;slope_SD&quot;</span><span>))</span>
                       <span>)</span>
</pre>
</div>
<h2>Other changes</h2>
<ul>
<li>Support for lmerTest 3.0.</li>
</ul>
	<p>
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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="http://rpsychologist.com/powerlmm-0-3-0"> R Psychologist - R</a></strong>.</div>
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