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authorJohannes Ranke <jranke@uni-bremen.de>2020-05-26 18:38:51 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2020-05-26 18:52:01 +0200
commit675a733fa2acc08daabb9b8b571c7d658f281f73 (patch)
treeef29cec38aa6d446f7956c0e423cca6bed2e21c0 /docs/news/index.html
parent5e85d8856e7c9db3c52bb6ac5a0a81e2f0c6181c (diff)
Use all cores per default, confint tolerance
Also, use more intelligent starting values for the variance of the random effects for saemix. While this does not appear to speed up the convergence, it shows where this variance is greatly reduced by using mixed-effects models as opposed to the separate independent fits.
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@@ -148,6 +148,8 @@
<ul>
<li><p>‘parms’: Add a method for mmkin objects</p></li>
<li><p>‘saemix_model’, ‘saemix_data’: Helper functions to fit nonlinear mixed-effects models for mmkin row objects using the saemix package</p></li>
+<li><p>‘mmkin’ and ‘confint(method = ’profile’): Use all cores detected by parallel::detectCores() per default</p></li>
+<li><p>‘confint(method = ’profile’): Choose accuracy based on ‘rel_tol’ argument, relative to the bounds obtained by the quadratic approximation</p></li>
</ul>
</div>
<div id="mkin-0-9-50-2-2020-05-12" class="section level1">

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