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Smaller cows are better?
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<blockquote data-quote="Badlands" data-source="post: 356448" data-attributes="member: 5010"><p>Aero,</p><p></p><p>You won't be able to do it until you use some sort of iteration function coupled with multiple trait models that account for variation in those traits. Until you have a program that can calculate the partial derivatives to do this, you will only be able to use the constants, which will only represent one scenario under specific conditions. The other method, which is actually more efficient, using less brute-force would be maximizing the log-likelihood functions, but you have to know how to do that too. ;-) </p><p></p><p>Gets a little tricky, doesn't it?</p><p></p><p></p><p>Badlands</p></blockquote><p></p>
[QUOTE="Badlands, post: 356448, member: 5010"] Aero, You won't be able to do it until you use some sort of iteration function coupled with multiple trait models that account for variation in those traits. Until you have a program that can calculate the partial derivatives to do this, you will only be able to use the constants, which will only represent one scenario under specific conditions. The other method, which is actually more efficient, using less brute-force would be maximizing the log-likelihood functions, but you have to know how to do that too. ;-) Gets a little tricky, doesn't it? Badlands [/QUOTE]
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