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| NONPARAMETRIC EXAMPLE |
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DISCUSSION:
Three examples are given of the NONPARAMETRIC step in NONMEM. In
examples 1 and 2, it is assumed that there only two etas in the prob-
lem. With more than two etas, insert the appropriate additional code.
Example 1
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This example illustrates how the cumulative density can be plotted
versus the conditional etas.
The following code is inserted in the $PRED or $PK block.
DN1=CDEN_(1)
DN2=CDEN_(2)
The following control records are used. Note that with the $NON-
PARAMETRIC record, the MARGINALS option is the default and need not be
coded explicitly.
$ESTIMATION POSTHOC PRINT=1
$NONPARAMETRIC MARGINALS
$SCAT DN1 VS ETA1
$SCAT DN2 VS ETA2
Example 2
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This example illustrates how both the conditional etas and the condi-
tional nonparametric etas (CNPE) can be obtained, and how they can be
compared.
(See comact).
The following code is inserted in the $PRED or $PK block:
;CONDITIONAL PARAMETRIC ETAS
IF (COMACT.EQ.2) ET1A=ETA(1)
IF (COMACT.EQ.2) ET2A=ETA(2)
;CONDITIONAL NONPARAMETRIC ETAS (CNPE)
IF (COMACT.EQ.3) ET1=ETA(1)
IF (COMACT.EQ.3) ET2=ETA(2)
The following control statements may be used. The first two are
required; the $SCATTER and $TABLE statements are examples of what can
be used.
$ESTIMATION POSTHOC
$NONP ETAS
; Examine distribution of nonparametric etas
$SCAT ET1 VS ID
$SCAT ET2 VS ID
; Compare parametric and nonparametric etas
$SCAT ET1A VS ET1
$SCAT ET2A VS ET2
$TABLE ID ET1A ET2A ET1 ET2 NOPRINT
Example 3
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This example shows the specific statements needed to simulate from a
nonparametric distribution using a Model Specification file generated
from a previous analysis using $NONPARAMETRIC.
; Model specification file from a previous analysis using $NONPARAMETRIC
$MSFI nonpfit.msf
; Second seed will be used for simulation using the nonparametric density
; Must include TRUE=FINAL, otherwise initial instead of final parameter
; estimates will be used.
$SIMULATION (3432192) (6348371 NONPARAMETRIC) TRUE=FINAL
REFERENCES: None.
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