[R] Nonlinear mixed effects model

From: Cam <cam.ochs_at_gmail.com>
Date: Fri 06 Oct 2006 - 20:24:06 GMT

In nonlinear mixed effects models, SAS doesn't allow for free manipulation of the covariance matrix (you can only specify a "type", and our "type" doesn't exist). Can R accomplish this? For example:


B1= Beta 1i
B2= Beta 2i
G1= Gamma i

y = B1 -(B1 - B2) exp { - G1 time} + e

the covariance matrix for

(B1         [( covB1?     covB1B2   covB1G1
 B2    ~      covB2B1    covB2?     covB2G1
 G1)           covG1B1   covG1B2   covG1?   )]

**If we want to specify covG1B1 and make everything else 0's, for example, what would the code look like?

Thanks for your time.

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Received on Sat Oct 07 06:27:20 2006

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