The nonparametric option will only estimate the distribution of ETA. The fixed parameters of your model (THETA(1), THETA(2),...,THETA(8)) should be estimated before the non parametric step with a parametric procedure ($EST...). By default, if the (parametric) estimation ($EST) step failed, the nonparametric step is not run. I think, it is your problem because the UNCONDITIONAL option just permits to run the nonparametric step when the $EST step has failed.
If I were you, I would try to run the command file without the $NONPARAMETRIC option, and correct eventuel errors... I hope it'll help, good luck, Julie Antic ----- Original Message ----- From: Rik Schoemaker To: [email protected] Sent: Wednesday, July 04, 2007 2:30 PM Subject: [NMusers] Nonparametric Modelling Dear all, I'm trying to implement nonparametric population parameter estimation in NONMEM VI but I run into the following error message: NONPARAMETRIC ESTIMATE REQUESTED. BUT NO INDIVIDUAL RECORDS EXIST WITH DATA MODELED WITH ACTIVE ETA'S As a result no tables are output at all. However, if I leave out the $NONP UNCONDITIONAL the model runs fine and I do get my tables... Any clues? Thanks in advance! Rik Schoemaker $PROB PK C1 $INPUT ID TRT TIME NDV DV CMT AMT SS RATE II MDV WT $DATA DRUG4.NM $SUBROUTINES ADVAN4 TRANS4 $PK TABS = THETA(1)*EXP(ETA(1)) KA = 0.692/TABS S2 = THETA(2)*EXP(ETA(2)) V2 = S2 V3 = THETA(3)*EXP(ETA(3)) CL = THETA(4)*EXP(ETA(4)) Q = THETA(5)*EXP(ETA(5)) ALAG1 = THETA(6)*EXP(ETA(6)) F1 = THETA(7)*EXP(ETA(7)) $ERROR IPRED = LOG(.025) W = THETA(8) IF(F.GT.0) IPRED = LOG(F) IRES = IPRED-DV IWRES = IRES/W Y = IPRED+ERR(1)*W $THETA 1 15 60 12 15 0.6 0.45 0.3 $OMEGA .1 .1 .1 .1 .1 .1 .1 $SIGMA 1 FIXED $EST PRINT=1 MAXEVAL 9999 POSTHOC NOABORT METHOD=1 MSFO=msfb1 $NONP UNCONDITIONAL $COV PRINT=E $TABLE ID TIME NDV DV CMT AMT SS RATE II MDV WT IPRED IRES IWRES FILE = SDTAB1 ONEHEADER NOPRINT $TABLE ID ALAG1 TABS S2 V3 CL Q F1 FILE=PATAB1 ONEHEADER NOPRINT First few data lines: 1 0 0 . . 1 175000 1 . 12 1 58 1 0 0.05 . . 2 . . . . 1 58 1 0 0.2166666667 . . 2 . . . . 1 58 1 0 0.3833333333 . . 2 . . . . 1 58 1 0 0.55 . . 2 . . . . 1 58 1 0 0.7166666667 . . 2 . . . . 1 58 1 0 0.8833333333 . . 2 . . . . 1 58 1 0 1 1206 7.0950643773 2 . . . . 0 58 1 0 1.05 . . 2 . . . . 1 58 1 0 1.2166666667 . . 2 . . . . 1 58 1 0 1.3833333333 . . 2 . . . . 1 58 1 0 1.55 . . 2 . . . . 1 58 1 0 1.7166666667 . . 2 . . . . 1 58 1 0 1.8833333333 . . 2 . . . . 1 58 1 0 2 1206 7.0950643773 2 . . . . 0 58 1 0 2.05 . . 2 . . . . 1 58 1 0 2.2166666667 . . 2 . . . . 1 58 1 0 2.3833333333 . . 2 . . . . 1 58 1 0 2.55 . . 2 . . . . 1 58 1 0 2.7166666667 . . 2 . . . . 1 58 1 0 2.8833333333 . . 2 . . . . 1 58 1 0 3 975 6.882437471 2 . . . . 0 58
