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authorJohannes Ranke <jranke@uni-bremen.de>2020-05-27 07:12:51 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2020-05-27 07:12:51 +0200
commitb5ee48a86e4b1d4c05aaadb80b44954e2e994ebc (patch)
treeaeeeaf623e4a6102b9ca2440cf0e32ff7a7a1d25 /docs/reference/synthetic_data_for_UBA_2014.html
parenta77a10ea6c607346778ba0700b3b66ac393101a2 (diff)
Add docs generated using released version 0.9.52
Diffstat (limited to 'docs/reference/synthetic_data_for_UBA_2014.html')
-rw-r--r--docs/reference/synthetic_data_for_UBA_2014.html36
1 files changed, 18 insertions, 18 deletions
diff --git a/docs/reference/synthetic_data_for_UBA_2014.html b/docs/reference/synthetic_data_for_UBA_2014.html
index 17d2f973..1444be76 100644
--- a/docs/reference/synthetic_data_for_UBA_2014.html
+++ b/docs/reference/synthetic_data_for_UBA_2014.html
@@ -290,8 +290,8 @@ Compare also the code in the example section to see the degradation models." />
<span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span>(<span class='no'>fit</span>)</div><div class='img'><img src='synthetic_data_for_UBA_2014-1.png' alt='' width='700' height='433' /></div><div class='input'> <span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#&gt; mkin version used for fitting: 0.9.50.2
#&gt; R version used for fitting: 4.0.0
-#&gt; Date of fit: Tue May 12 15:31:29 2020
-#&gt; Date of summary: Tue May 12 15:31:29 2020
+#&gt; Date of fit: Wed May 27 07:05:27 2020
+#&gt; Date of summary: Wed May 27 07:05:27 2020
#&gt;
#&gt; Equations:
#&gt; d_parent/dt = - k_parent * parent
@@ -300,7 +300,7 @@ Compare also the code in the example section to see the degradation models." />
#&gt;
#&gt; Model predictions using solution type deSolve
#&gt;
-#&gt; Fitted using 819 model solutions performed in 0.619 s
+#&gt; Fitted using 817 model solutions performed in 0.627 s
#&gt;
#&gt; Error model: Constant variance
#&gt;
@@ -352,15 +352,15 @@ Compare also the code in the example section to see the degradation models." />
#&gt; log_k_M2 2.819e-02 7.166e-02 -3.929e-01 1.000e+00 -2.658e-01
#&gt; f_parent_ilr_1 -4.624e-01 -5.682e-01 7.478e-01 -2.658e-01 1.000e+00
#&gt; f_M1_ilr_1 1.614e-01 4.102e-01 -8.109e-01 5.419e-01 -8.605e-01
-#&gt; sigma 1.285e-07 1.054e-07 -1.671e-07 3.644e-08 -2.503e-07
+#&gt; sigma -1.384e-07 -2.581e-07 9.499e-08 1.518e-07 1.236e-07
#&gt; f_M1_ilr_1 sigma
-#&gt; parent_0 1.614e-01 1.285e-07
-#&gt; log_k_parent 4.102e-01 1.054e-07
-#&gt; log_k_M1 -8.109e-01 -1.671e-07
-#&gt; log_k_M2 5.419e-01 3.644e-08
-#&gt; f_parent_ilr_1 -8.605e-01 -2.503e-07
-#&gt; f_M1_ilr_1 1.000e+00 2.636e-07
-#&gt; sigma 2.636e-07 1.000e+00
+#&gt; parent_0 1.614e-01 -1.384e-07
+#&gt; log_k_parent 4.102e-01 -2.581e-07
+#&gt; log_k_M1 -8.109e-01 9.499e-08
+#&gt; log_k_M2 5.419e-01 1.518e-07
+#&gt; f_parent_ilr_1 -8.605e-01 1.236e-07
+#&gt; f_M1_ilr_1 1.000e+00 8.795e-09
+#&gt; sigma 8.795e-09 1.000e+00
#&gt;
#&gt; Backtransformed parameters:
#&gt; Confidence intervals for internally transformed parameters are asymmetric.
@@ -397,8 +397,8 @@ Compare also the code in the example section to see the degradation models." />
#&gt;
#&gt; Data:
#&gt; time variable observed predicted residual
-#&gt; 0 parent 101.5 1.021e+02 -0.56249
-#&gt; 0 parent 101.2 1.021e+02 -0.86249
+#&gt; 0 parent 101.5 1.021e+02 -0.56248
+#&gt; 0 parent 101.2 1.021e+02 -0.86248
#&gt; 1 parent 53.9 4.873e+01 5.17118
#&gt; 1 parent 47.5 4.873e+01 -1.22882
#&gt; 3 parent 10.4 1.111e+01 -0.70773
@@ -407,8 +407,8 @@ Compare also the code in the example section to see the degradation models." />
#&gt; 7 parent 0.3 5.772e-01 -0.27717
#&gt; 14 parent 3.5 3.264e-03 3.49674
#&gt; 28 parent 3.2 1.045e-07 3.20000
-#&gt; 90 parent 0.6 9.531e-10 0.60000
-#&gt; 120 parent 3.5 -5.940e-10 3.50000
+#&gt; 90 parent 0.6 9.535e-10 0.60000
+#&gt; 120 parent 3.5 -5.941e-10 3.50000
#&gt; 1 M1 36.4 3.479e+01 1.61088
#&gt; 1 M1 37.4 3.479e+01 2.61088
#&gt; 3 M1 34.3 3.937e+01 -5.07027
@@ -418,9 +418,9 @@ Compare also the code in the example section to see the degradation models." />
#&gt; 14 M1 5.8 1.995e+00 3.80469
#&gt; 14 M1 1.2 1.995e+00 -0.79531
#&gt; 60 M1 0.5 2.111e-06 0.50000
-#&gt; 90 M1 3.2 -9.670e-10 3.20000
-#&gt; 120 M1 1.5 7.670e-10 1.50000
-#&gt; 120 M1 0.6 7.670e-10 0.60000
+#&gt; 90 M1 3.2 -9.676e-10 3.20000
+#&gt; 120 M1 1.5 7.671e-10 1.50000
+#&gt; 120 M1 0.6 7.671e-10 0.60000
#&gt; 1 M2 4.8 4.455e+00 0.34517
#&gt; 3 M2 20.9 2.153e+01 -0.62527
#&gt; 3 M2 19.3 2.153e+01 -2.22527

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