Description Usage Arguments Details Value Examples

Generates points from a Neyman-Scott point process using parameters provided by the user.

1 2 |

`pars` |
A named vector containing the values of the parameters of the process that generates the points. |

`lims` |
A matrix with two columns, corresponding to the upper and lower limits of each dimension, respectively. |

`disp` |
A character string indicating the distribution of
children around their parents. Use |

`child.dist` |
The distribution of the number of children
generated by a randomly selected parent. For a Poisson
distribution, use |

`child.info` |
A list of further information that is required about the distribution for the number of children generated by parents. See ‘Details’. |

For a list of possible parameter names, see fit.ns.

The `"child.info"`

argument is required when `child.dist`

is set to `"twoplane"`

. It must be a list that comprises (i) a
component named `w`

, providing the halfwidth of the detection
zone; (ii) a component named `b`

, providing the halfwidth of
the survey area; (iii) a component named `l`

, providing the
time lag between planes (in seconds); and (iv) a component named
`tau`

, providing the mean dive-cycle duration. See Stevenson,
Borchers, and Fewster (in prep) for details.

A list. The first component gives the Cartesian coordinates of the generated points. A second component may provide sibling information.

1 2 3 4 5 6 7 8 9 | ```
set.seed(1234)
## One-dimensional Thomas process.
data.thomas <- sim.ns(c(D = 10, lambda = 5, sigma = 0.025), lims = rbind(c(0, 1)))
## Fitting a model to these data.
fit.thomas <- fit.ns(data.thomas$points, lims = rbind(c(0, 1)), R = 0.5)
## Three-dimensional Matern process.
data.matern <- sim.ns(c(D = 10, lambda = 10, tau = 0.1), disp = "uniform", lims = rbind(c(0, 1), c(0, 2), c(0, 3)))
## Fitting a model to these data.
fit.matern <- fit.ns(data.matern$points, lims = rbind(c(0, 1), c(0, 2), c(0, 3)), R = 0.5, disp = "uniform")
``` |

b-steve/nspp documentation built on June 4, 2017, 12:10 a.m.

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