DynRisk calculates the curve fit by modeling the relation between the two data nodes as a so-called Gaussian process. You can control how this is done by adjusting parameters such as 窶彝esolution窶, 窶彜moothness窶 and 窶彜ensitivity窶. To do this you select the node you want to adjust the parameter settings for and then use the 窶廚urve fit settings窶ｦ窶 command.
Resolution
This parameter determines the density of fitted points along the curve.
Smoothness
By selecting a high smoothness factor, the fitting algorithm will try to find a 窶徭moother窶 curve, i.e., local 窶徊umps窶 will be straightened out. When using a low smoothness factor the algorithm interprets every 窶徊ump窶 as significant, and the curve will typically be very unstable.
Sensitivity
This parameter determines how sensitive the algorithm is to large deviations from the mean value trend.
Note! Usually it is a good idea to select a rather high smoothness factor (e.g., 90). If you have many data points, you may choose 窶廩igh窶 resolution, otherwise choose 窶廴edium窶 or 窶廰ow窶. The sensitivity factor should be greater than 50, unless you have very many data points. Make sure that the scale of the X-axis is chosen such that there are data points all along the axis.
