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authorJohannes Ranke <jranke@uni-bremen.de>2014-10-14 20:36:36 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2014-10-14 20:36:36 +0200
commit63e0ce4866e63cc6a844bfcb7b98c98619dd2831 (patch)
tree2a65a3fe168fa59e855c1ef683a23724d6c90e61 /vignettes/gmkin_manual.Rmd
parenta0e726414530f1cfc971f8381a2cfd8313326092 (diff)
Add a note about transforming fractions
Diffstat (limited to 'vignettes/gmkin_manual.Rmd')
-rw-r--r--vignettes/gmkin_manual.Rmd8
1 files changed, 7 insertions, 1 deletions
diff --git a/vignettes/gmkin_manual.Rmd b/vignettes/gmkin_manual.Rmd
index 8dd4c54..39669e8 100644
--- a/vignettes/gmkin_manual.Rmd
+++ b/vignettes/gmkin_manual.Rmd
@@ -282,7 +282,8 @@ plot of the model and the data using the specified initial parameter values.
If a similar model with a partially overlapping model definition has already be fitted,
initial values for parameters with the same name in both models can also be retrieved
-from previous fits. This facilitates stepwise fitting of more complex degradation pathways.
+from previous fits by selecting the fit and pressing the button "Get initials
+from". This facilitates stepwise fitting of more complex degradation pathways.
After the model has been successfully fitted by pressing the "Run" button, the optimised
parameter values are added to the parameter table.
@@ -310,6 +311,11 @@ as defined in the model, or if they are internally transformed during the fittin
order to improve the estimation of standard errors and confidence intervals which are based
on a linear approximation at the optimum found by the fitting algorithm.
+If fitting with transformed fractions leads to a suboptimal fit, doing a first
+run without transforming fractions may help. A final run using the optimised
+parameters from the previous run as starting values (see comment on "Get
+initials from" above) can then be performed with transformed fractions.
+
The dropdown box "weight" specifies if and how the observed values should be weighted
in the fitting process. If "manual" is chosen, the values in the "err" column of the
dataset are used, which are set to unity by default. Setting these to higher values

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