A simple algorithm for producing a time-series that drives a second time-series (1 for event occurrence; 0 otherwise) using parameters, which change independent and conditional probability of an event to occur.

1 | ```
simts(BL1, BL2, BLR1, BLR2, BL2C1, tsL)
``` |

`BL1` |
Base event rate of the first time-series |

`BL2` |
Base event rate of the second time-series |

`BLR1` |
Rate of repetition in the first series |

`BLR2` |
Rate of repetition in the second series |

`BL2C1` |
Conditional probability of repetition. |

`tsL` |
Length of the simulated time-series |

A matrix with two-rows, where the first row is
the 'driving' time-series and the second row
is the second time-series. The columns are
the number of simulated points as selected
by the argument `tsL`

.

Rick Dale and Moreno I. Coco (moreno.cocoi@gmail.com)

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