Description Usage Arguments Details Value References Examples

Simulation of the generalized Thomas model of type A.

1 | ```
SimulateTypeA(pars, seed = NULL, plot = TRUE)
``` |

`pars` |
a named vector of containing the values of the model parameters
( |

`seed` |
a positive integer, which is the seed for a sequence of uniform random numbers. The default seed is based on the current time. |

`plot` |
logical. If |

Parents' configuration and numbers of the offspring cluster sizes are generated by the same way as the Thomas model.

Let random variable *Uk, k=1,2* be independently and uniformly
distributed in [0,1]. Then *r* satisfies as follows:

*
r = σ1 √{ -2log(1-U1) }, U2 <= a ,*

*
r = σ2 √{ -2log(1-U1) }, otherwise.*

Each of the offspring coordinates *(x_j^i, y_j^i)* is given like that of
`SimulateIP`

. Using series of different uniform random numbers
*{U1, U2, U}* for different *i* and *j*.

`parents` |
a list containing two components named " |

`offspring` |
a list containing two components named " |

U. Tanaka, Y. Ogata and K. Katsura,
Simulation and estimation of the Neyman-Scott type spatial cluster models,
*Computer Science Monographs* **No.34**, 2008, 1-44.
The Institute of Statistical Mathematics.

1 2 | ```
pars <- c(mu = 50.0, nu = 30.0, a = 0.03, sigma1 = 0.005, sigma2 = 0.1)
SimulateTypeA(pars, seed = 575)
``` |

NScluster documentation built on March 19, 2018, 9:03 a.m.

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