simulate {CARMS} | R Documentation |
Generate a simulation of a carms object.
Description
This function calls for the simulation on a completed carms object.
Usage
simulate(x, solution, mission_time, intervals=50, cycles=2000)
Arguments
x |
A completed |
solution |
A string of "rk", "bd", or "chain" indicating the method of obtaining the simulation solution. |
mission_time |
A time value for the extent of mission history for the simulation |
intervals |
An integer value for the number of intervals over the mission history to calculate the simulation. |
cycles |
An integer value (usually in the thousands) impacting the number of simulations run only when using the chain solution. |
Details
It was chosen not to register this functionThis function, due to differences in fundimental arguments with stats::simulate. For this reason upon loading the CARMS library one will notice that function simulate is masked from the stats library.
Value
This function returns a matrix of probabilities for each state at each time step to the carms$simulation list element.
References
Jan Pukite and Paul Pukite (1998), "Modeling for Reliability Analysis", IEEE Press, New York
William J. Stewart (1994), "Introduction to the numerical solution of Markov chains", Princeton University Press, Princeton
Examples
SiSimpl<-carms.make(title="Parallel Identical components", diagram_grid=c(5,8))
SiSimpl<-carms.state(SiSimpl, prob=1, name="P1", size=7, h2w=14/20, position=c(2,3) )
SiSimpl<-carms.state(SiSimpl, prob=0, name="P2", size=7, h2w=14/20, position=c(6,3) )
SiSimpl<-carms.base(SiSimpl, 1, time_units="hours", description="Failure rate")
SiSimpl<-carms.arrow(SiSimpl, from=1, to=2, rate="B1",label="B1")
SiSimpl<-simulate(SiSimpl, solution="rk", mission_time=200)