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Maximum Likelihood Contour Plot Calculation 1.0

  Date Added: April 27, 2013  |  Visits: 236

Maximum Likelihood Contour Plot Calculation

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This contribution is made in order to calculate the maximum likelihood contour plots of any function. Just replace the file with your function change some basic settings in the file and there you go. The objective function has to return a scalar. There are two settings only: the range of the parameter to be varied around the base case value [%] and the resolution of this range [%].Additional parameters of the objective function can be passed in the form of a vector or structure. I provided also some results of this contribution, the JPEG files.EXAMPLE ==============================% base case coefficientsBCcoeff = [ -2 4 -6 8];% set the sensitivity range in %: e.g 30% around base case valuesettings.Range = 30;% sensitivity grid resolutionsettings.step = 1;% contour plot settingsettings.CplotRange = [ 50:2:100];% additional parameter vector = []param =[];% call function to calculate matrix ZoutStr = fcnSensitivityRun_3D('fcnObjfun', BCcoeff, settings, param)% call function fcnMLPlot(outStr) to %plot the results% it was split in two functions because the calculation of matrix Z can% take long time, e.g. for ODE systems %and if you want to change the% contour plot settings then you dont %need to recalculate Z.% for e.g. you can change again the contour plots setting%outStr.setts.CplotRange = [ 20:10:100];fcnMLPlot(outStr)Additional toolboxes needed: Communications TBX, vec2mat function.Tested on R14SP3.Ver.1.0.14.10.2005This library is free to use and modify for non-commercial purposes.

Requirements: No special requirements
Platforms: Matlab
Keyword: Additional Calculation Fcnmlplotoutstr Functions Matrix Outstr Param Settingsrange Split
Users rating: 0/10

License: Shareware Size: 235.52 KB
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