Dear NMusers:

I am working on dataset with high variability on clearance and patients in 
different disease states seems have different distribution of clearance. So I 
want to try the mixture model but I don't know how to do the coding. I listed 
the code of my base model as below: 

$PROB  1hr IV INFUSION SINGLE DOSE WITHOUT COVARIATES
$DATA data01.CSV IGNORE=C
$INPUT ID TIME DV AMT RATE MDV

$SUBROUTINES ADVAN9 TRANS1 TOL=5
$MODEL NPAR=3, NCOMP=1, COMP=(CENTRAL,DEFOBS)

$PK
         V1    = THETA(1)*EXP(ETA(1))
         VM    = THETA(2)*EXP(ETA(2))
         KM   = THETA(3)
        
          S1    = V1
       

$ERROR

Y=F+F*EPS(1)+EPS(2)

IPRED=F
IRES=DV-IPRED
IF(AMT.NE.0)W=1
IF(AMT.EQ.0)W=F
IWRES=IRES/W

$DES
       C1 = A(1)/V1
       DADT(1) = - C1*VM/(KM+C1)
                          

$THETA (0, 4.47) (0, 155) (0, 1380)
$OMEGA BLOCK (2)
0.5
0.3 0.9

$SIGMA (0.01) (0.1)

$EST     POSTHOC METHOD=1 MAXEVAL=9990  PRINT=5
$COV
$TABLE          ID TIME DV AMT RATE V1 VM KM IWRES IPRED NOPRINT FILE=TAB4 
ONEHEADER
$SCAT           (RES WRES) VS TIME BY ID

Any suggestion will be highly appreciated!

Best regards,

Huali

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