Hi Mark,
As I’m sure you know NONMEM has the TNPRI functionality for that. If you want
to use it without the TNPRI functionality, you can estimate OMEGA as THETA and
use a multivariate normal for that. If you have off-diagonal elements, you may
want to do a Cholesky transformation (you can get
Hi Mark,
Indeed there is: As an alternative to NWPRI, there is the TNPRI subroutine that
you can use with $PRIOR (frequentist prior).
This functionality is tripple normal, with regards to thetas, omegas and
sigma(s).
I will describe this more in detail than Mark would need (hopefully for the
be
Hi
To add on Martin’s suggestion, one item to think of when using theta for
estimating the variances of eta is to use log scaled STD as your model
parameter, so instead of THETA*ETA (with OMEGA fixed) use exp(THETA)*ETA.
This way you would assume a log-normal prior for the standard deviation of E
thanks Mats,
I've never had much luck getting TNPRI to work, pretty limited examples in
the docs. I actually not not want to run NONMEM with normal OMEGA PRIOR, just
want to validate some other work where I calculate the PRIOR penalty from a
normal, and thought this might be a practical way t
