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authorJohannes Ranke <jranke@uni-bremen.de>2021-04-21 16:40:50 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2021-04-21 16:40:50 +0200
commit9907f17aa98bddfe60e82a71c70a2fea914a02f7 (patch)
tree4d5d959cdd19f32068bae406372df4b8a8f59fd6 /docs/reference/confint.mkinfit.html
parent34d1c5f23edfb60548bc5a9dd99c2f3af92acef1 (diff)
parentc74b79c983fe9fc872bac1262040e82f16049477 (diff)
Merge branch 'master' into saemix
Diffstat (limited to 'docs/reference/confint.mkinfit.html')
-rw-r--r--docs/reference/confint.mkinfit.html6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/reference/confint.mkinfit.html b/docs/reference/confint.mkinfit.html
index 06e78459..e81e0c7b 100644
--- a/docs/reference/confint.mkinfit.html
+++ b/docs/reference/confint.mkinfit.html
@@ -79,7 +79,7 @@ method of Venzon and Moolgavkar (1988)." />
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">mkin</a>
- <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.3</span>
+ <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.4</span>
</span>
</div>
@@ -285,13 +285,13 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
<span class='va'>f_d_1</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>FOCUS_2006_D</span>, <span class='va'>value</span> <span class='op'>!=</span> <span class='fl'>0</span><span class='op'>)</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span><span class='op'>(</span><span class='va'>ci_profile</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_d_1</span>, method <span class='op'>=</span> <span class='st'>"profile"</span>, cores <span class='op'>=</span> <span class='fl'>1</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span><span class='op'>)</span>
</div><div class='output co'>#&gt; user system elapsed
-#&gt; 4.255 1.029 3.937 </div><div class='input'><span class='co'># Using more cores does not save much time here, as parent_0 takes up most of the time</span>
+#&gt; 3.871 0.000 3.871 </div><div class='input'><span class='co'># Using more cores does not save much time here, as parent_0 takes up most of the time</span>
<span class='co'># If we additionally exclude parent_0 (the confidence of which is often of</span>
<span class='co'># minor interest), we get a nice performance improvement if we use at least 4 cores</span>
<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span><span class='op'>(</span><span class='va'>ci_profile_no_parent_0</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span><span class='op'>(</span><span class='va'>f_d_1</span>, method <span class='op'>=</span> <span class='st'>"profile"</span>,
<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"k_parent_sink"</span>, <span class='st'>"k_parent_m1"</span>, <span class='st'>"k_m1_sink"</span>, <span class='st'>"sigma"</span><span class='op'>)</span>, cores <span class='op'>=</span> <span class='va'>n_cores</span><span class='op'>)</span><span class='op'>)</span>
</div><div class='output co'>#&gt; <span class='message'>Profiling the likelihood</span></div><div class='output co'>#&gt; user system elapsed
-#&gt; 1.469 0.092 0.911 </div><div class='input'><span class='va'>ci_profile</span>
+#&gt; 1.484 0.116 0.923 </div><div class='input'><span class='va'>ci_profile</span>
</div><div class='output co'>#&gt; 2.5% 97.5%
#&gt; parent_0 96.456003640 1.027703e+02
#&gt; k_parent_sink 0.040762501 5.549764e-02

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