... |
parameters that can be adjusted. See the vignette("whatmph") for more details.
threads. integer. The number of threads to use. Defaults to getOption('durmod.threads') .
iters. integer. How many iterations should we maximally run. Defaults to 12.
ll.improve. numeric. How much must the log-likelihood improve from the last iteration before
termination. Defaults to 0.001.
newpoint.maxtime. numeric. For how many seconds should a global search for a new point
improving the likelihood be conducted before we continue with the best we have found. Defaults to
120.
callback. A
user-specified function(fromwhere, opt, dataset, control,
...) which is called after each optimization step. It can be
used to report what is happening, check whatever it wants, and
optionally stop the estimation by calling stop(). In this case,
mphcrm() will return with the most recently estimated set
of parameters. See the help on mphcrm.callback for
information on the argument.
trap.interrupt. logical. Should interrupts be trapped so that mphcrm returns gracefully?
In this case the program will continue. Defaults to interactive() .
cluster. Cluster specification from package parallel or snow.
|