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authorJohannes Ranke <jranke@uni-bremen.de>2020-11-19 15:41:24 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2020-11-19 15:41:24 +0100
commitdb9ae6a0c9cecb92048fde6f06af1da183c09b5f (patch)
treef0ea97545549c71bd7aa3d13afed422fd402f0e6 /docs/dev/reference/summary.nlme.mmkin.html
parent6441a9f35d66f2c4d38c0036f99cd8f509d76f3b (diff)
Depend on parallel, doc improvements
By depending on parallel instead of importing it, functions to set up and stop a cluster are always available when mkin is loaded. The use of multicore processing in mmkin on Windows is now documented in the help file, which brings mkin closer to a version 1.0 #9.
Diffstat (limited to 'docs/dev/reference/summary.nlme.mmkin.html')
-rw-r--r--docs/dev/reference/summary.nlme.mmkin.html23
1 files changed, 12 insertions, 11 deletions
diff --git a/docs/dev/reference/summary.nlme.mmkin.html b/docs/dev/reference/summary.nlme.mmkin.html
index d35e8713..d016796e 100644
--- a/docs/dev/reference/summary.nlme.mmkin.html
+++ b/docs/dev/reference/summary.nlme.mmkin.html
@@ -265,8 +265,8 @@ José Pinheiro and Douglas Bates for the components inherited from nlme</p>
</div><div class='output co'>#&gt; nlme version used for fitting: 3.1.150.1
#&gt; mkin version used for pre-fitting: 0.9.50.4
#&gt; R version used for fitting: 4.0.3
-#&gt; Date of fit: Sat Nov 7 13:28:06 2020
-#&gt; Date of summary: Sat Nov 7 13:28:06 2020
+#&gt; Date of fit: Thu Nov 19 14:59:43 2020
+#&gt; Date of summary: Thu Nov 19 14:59:43 2020
#&gt;
#&gt; Equations:
#&gt; d_parent/dt = - k_parent * parent
@@ -276,7 +276,7 @@ José Pinheiro and Douglas Bates for the components inherited from nlme</p>
#&gt;
#&gt; Model predictions using solution type analytical
#&gt;
-#&gt; Fitted in 0.588 s using 5 iterations
+#&gt; Fitted in 0.681 s using 5 iterations
#&gt;
#&gt; Variance model: Two-component variance function
#&gt;
@@ -293,24 +293,20 @@ José Pinheiro and Douglas Bates for the components inherited from nlme</p>
#&gt; 555.792 570.7908 -271.896
#&gt;
#&gt; Optimised, transformed parameters with symmetric confidence intervals:
-#&gt; lower est. upper
-#&gt; parent_0 94.701336 97.763446 100.82556
-#&gt; log_k_parent -5.007574 -4.461767 -3.91596
+#&gt; lower est. upper
+#&gt; parent_0 94.701 97.763 100.826
+#&gt; log_k_parent -5.008 -4.462 -3.916
#&gt;
#&gt; Correlation:
#&gt; prnt_0
#&gt; log_k_parent 0.024
#&gt;
-#&gt; Backtransformed parameters with asymmetric confidence intervals:
-#&gt; lower est. upper
-#&gt; parent_0 94.701335804 97.76344625 100.82555670
-#&gt; k_parent 0.006687109 0.01154195 0.01992142
#&gt; Random effects:
#&gt; Formula: list(parent_0 ~ 1, log_k_parent ~ 1)
#&gt; Level: ds
#&gt; Structure: Diagonal
#&gt; parent_0 log_k_parent Residual
-#&gt; StdDev: 16.65969 3.516961 5.709013
+#&gt; StdDev: 2.898 0.6119 1
#&gt;
#&gt; Variance function:
#&gt; Structure: Constant plus proportion of variance covariate
@@ -319,6 +315,11 @@ José Pinheiro and Douglas Bates for the components inherited from nlme</p>
#&gt; const prop
#&gt; 1.55075176 0.05680853
#&gt;
+#&gt; Backtransformed parameters with asymmetric confidence intervals:
+#&gt; lower est. upper
+#&gt; parent_0 94.701336 97.76345 100.82556
+#&gt; k_parent 0.006687 0.01154 0.01992
+#&gt;
#&gt; Estimated disappearance times:
#&gt; DT50 DT90
#&gt; parent 60.05 199.5

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