NMsim_VarCov function

Simulate with parameter values sampled from a covariance step

Like NMsim_default but $THETA, $OMEGA, and SIGMA are drawn from distribution estimated in covariance step. A successful covariance step must be available from the estimation. In case the simulation leads to negative diagonal elements in $OMEGA and$SIGMA, those values are truncated at zero. For simulation with parameter variability based on bootstrap results, use NMsim_default.

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

NMsim_VarCov(file.sim, file.mod, data.sim, nsims, ext, write.ext = NULL, ...)

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.
• nsims: Number of replications wanted. The default is 1. If greater, multiple control streams will be generated.
• ext: Parameter values in long format as created by readParsWide and NMdata::NMreadExt.
• write.ext: If supplied, a path to an rds file where the parameter values used for simulation will be saved.
• ...: Additional arguments passed to NMsim_default().

Returns

Character vector of simulation control stream paths