# Function to generate a sequence of random CTMC transitions.

### Description

The function generates random CTMC transitions as per the provided generator matrix.

### Usage

1 |

### Arguments

`n` |
The number of samples to generate. |

`ctmc` |
The CTMC S4 object. |

`initDist` |
The initial distribution of states. |

`T` |
The time up to which the simulation runs (all transitions after time T are not returned). |

`include.T0` |
Flag to determine if start state is to be included. |

`out.type` |
"list" or "df" |

### Details

In order to use the T0 argument, set n to Inf.

### Value

Based on out.type, a list or a data frame is returned. The returned list has two elements - a character vector (states) and a numeric vector (indicating time of transitions). The data frame is similarly structured.

### Author(s)

Sai Bhargav Yalamanchi

### References

Introduction to Stochastic Processes with Applications in the Biosciences (2013), David F. Anderson, University of Wisconsin at Madison

### See Also

`generatorToTransitionMatrix`

,`ctmc-class`

### Examples

1 2 3 4 5 6 7 8 9 10 11 12 | ```
energyStates <- c("sigma", "sigma_star")
byRow <- TRUE
gen <- matrix(data = c(-3, 3,
1, -1), nrow = 2,
byrow = byRow, dimnames = list(energyStates, energyStates))
molecularCTMC <- new("ctmc", states = energyStates,
byrow = byRow, generator = gen,
name = "Molecular Transition Model")
statesDist <- c(0.8, 0.2)
rctmc(n = Inf, ctmc = molecularCTMC, T = 1)
rctmc(n = 5, ctmc = molecularCTMC, initDist = statesDist, include.T0 = FALSE)
``` |

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