Simulate Trajectory From one SPN Model using Human SIS model — sim_trajectory_base_R_decoupled

This is an internal function to sim_trajectory_R. It does the actual sampling once all of the functions have been checked and setup.

Usage

sim_trajectory_base_R_decoupled_SIS(
  x0,
  h0,
  SPN_P,
  theta,
  times,
  num_reps,
  stepFun,
  events = NULL,
  batch = NULL,
  Sout = NULL,
  verbose = TRUE,
  cube = NULL
)

Arguments

x0: the initial marking of the SPN (initial state)
h0: initial human state distribution
SPN_P: stochastic petri net, places
theta: parameters
times: sequence of sampling times
num_reps: number of repetitions to run
stepFun: a sampling function
events: a data.frame of events (uses the same format as required in package deSolve for consistency, see events for more information)
batch: a list of batch migration events, created from batch_migration, may be set to NULL if not used
Sout: an optional matrix to track event firings
verbose: print a progress bar?
cube: inheritance cube

Value

matrix of sampled values