Simulate with parameter variability using the NONMEM NWPRI subroutine

Modify control stream for simulation with uncertainty using inverse-Wishart distribution for OMEGA and SIGMA parameters

This function does not run any simulations. To simulate, using this method, see `NMsim()`. See examples.

Usage

NMsim_NWPRI(file.sim, file.mod, data.sim, PLEV = 0.999)

Arguments

file.sim: The path to the control stream to be edited. This function overwrites the contents of the file pointed to by file.sim.
file.mod: Path to the path to the original input control stream provided as `file.mod` to `NMsim()`.
data.sim: Included for compatibility with `NMsim()`. Not used.
PLEV: Used in $PRIOR NWPRI PLEV=0.999. This is a NONMEM argument to the NWPRI subroutine. When PLEV < 1, a value of THETA will actually be obtained using a truncated multivariate normal distribution, i.e. from an ellipsoidal region R1 over which only a fraction of mass of the normal occurs. This fraction is given by PLEV.

Details

Simulate with parameter uncertainty. THETA parameters are sampled from a multivariate normal distribution while OMEGA and SIGMA are simulated from the inverse-Wishart distribution. Correlations of OMEGA and SIGMA parameters will only be applied within modeled "blocks".

References

inverse-Wishart degrees of freedom calculation for OMEGA and SIGMA: NONMEM tutorial part II, supplement 1, part C.

Author

Brian Reilly, Philip Delff

Examples

if (FALSE) { # \dontrun{
simres <- NMsim(file.path,method.sim=NMsim_WPRI,typical=TRUE,subproblems=500)
} # }