To get PRED, nonmem runs the model with all ETAs fixed to zero. COMACT
variable is equal to 1 at this step. So if IPRED is the concentration
predictions, then the line:
IF(COMACT.EQ.1) PREDI=IPRED
will give you concentration predictions when all ETAs are equal to zero
(that is PRED). This is also convenient to get PRED for BQL observations
(when M3 is used)
Leonid
On 9/28/2019 8:42 AM, Belo wrote:
Hello NONMEM Community,
Is there an easy way to get PRED from NONMEM when objective function
instead of error model is specified? It is possible to add another set
of differential equations where parameters do not have between-subject
variability, but it seems cumbersome.
Thanks,
Pavel
