Hi I have posted the following question on stackoverflow [1] but haven't received a response yet. Has somebody here any idea, how to formulate non-linear constraints using e.g. the packages alabama or nlopr? The question is pasted below.
I am really stuck with this. Thanks, Rainer ,---- | I am successful in using constrOptim() for linear constraints (thanks to | a comment in my earlier question), but I now have a problem with | non-linear constraints. | | Consider the following example: | | I want to fit a function FUN(X1, X2, ... X12) | | X1 = dep.a | X2 = dep.b | X3 = dep.c | ... for all z0. , na. and zjoint. | | and have the following constraint | (link to formulas: | http://stackoverflow.com/questions/32845169/how-to-optimize-with-non-linear-constraints-in-r | ) | | | With some re-formating and h > 0 and LAI > 0 I get for thew first one | | -X1 <= LAI^X2 / X3 < 1 - X1 | | where LAI is simply a number which constant for each fit. | | I saw the packages alabama and nloptr but I don't manage to get my head | around how I can specify these types of constraints? | | Also a web search did not yield any helpful information for me. | | Could somebody provide some info how I can convert these constraints | into arguments for the fitting functions (e.g. hin, heq in the alabama | package)? `---- Footnotes: [1] http://stackoverflow.com/questions/32845169/how-to-optimize-with-non-linear-constraints-in-r -- Rainer M. Krug, PhD (Conservation Ecology, SUN), MSc (Conservation Biology, UCT), Dipl. Phys. (Germany) Centre of Excellence for Invasion Biology Stellenbosch University South Africa Tel : +33 - (0)9 53 10 27 44 Cell: +33 - (0)6 85 62 59 98 Fax : +33 - (0)9 58 10 27 44 Fax (D): +49 - (0)3 21 21 25 22 44 email: rai...@krugs.de Skype: RMkrug PGP: 0x0F52F982
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