mrgsim variant functions
These functions are called by mrgsim() and have
explicit input requirements written into the function name. The motivation
behind these variants is to give the user a clear workflow with specific,
required inputs as indicated by the function name. Use
mrgsim_q() instead to benchmark mrgsolve or to do repeated quick
simulation for tasks like parameter optimization, sensitivity analyses,
or optimal design.
mrgsim_e(x, events, idata = NULL, data = NULL, ...) mrgsim_d(x, data, idata = NULL, events = NULL, ...) mrgsim_ei(x, events, idata, data = NULL, ...) mrgsim_di(x, data, idata, events = NULL, ...) mrgsim_i(x, idata, data = NULL, events = NULL, ...) mrgsim_0(x, idata = NULL, data = NULL, events = NULL, ...)
x |
the model object |
events |
an event object |
idata |
a matrix or data frame of model parameters,
one parameter per row (see |
data |
NMTRAN-like data set (see |
... |
passed to |
Important: all of these functions require that
data, idata, and/or events be pass directly to the functions. They
will not recognize these inputs from a pipeline.
mrgsim_e simulate using an event object
mrgsim_ei simulate using an event object and idata_set
mrgsim_d simulate using a data_set
mrgsim_di simulate using a data_set and idata_set
mrgsim_i simulate using a idata_set
mrgsim_0 simulate using just the model
mrgsim_q simulate from a data set with quicker turnaround (see
mrgsim_q())
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