NMsim_VarCov {NMsim} | R Documentation |
Simulate with parameter values sampled from a covariance step
Description
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()'.
Usage
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. |
Value
Character vector of simulation control stream paths