mrgsolve (version 0.9.2)

mrgsim_variants: mrgsim variant functions

Description

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.

Usage

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, ...)

Arguments

x

the model object

events

an event object

idata

a matrix or data frame of model parameters, one parameter per row (see idata_set)

data

NMTRAN-like data set (see data_set)

...

passed to update and do_mrgsim

Details

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)

See Also

mrgsim, mrgsim_q