Description Usage Arguments Details Author(s)

Primarily for the purposes of initializing the estimation, these functions
can also be used for diagnostic purposes. `position.logp`

produces
grids of simplistic position likelihood for each twilight and uses
those to initialize positions for running estimations.

1 2 3 4 5 6 7 8 | ```
position.logp(model, x1, x2, xrest = NULL, subset = 1:model$n,
initialize.x = TRUE, start = NULL, end = NULL, prob = 0.8, winoffset = 5)
initialize.x(model, x1, x2, xrest = NULL)
light.quantile(model, chain, day, seg, probl = c(0.025, 0.5, 0.975))
show.segment(model, chain, segment, day, light, k, n = 50, ...)
``` |

`model` |
estimation model object |

`x1` |
vector of x-coordinates defining the prior grid |

`x2` |
vector of y-coordinates defining the prior grid |

`xrest` |
value for remaining parameters - default is light attenuation |

`subset` |
evaluate subset of segments - default uses all |

`initialize.x` |
logical - create initial points for x? |

`prob` |
probability - threshold to apply to overlapping quantiles, defaults to 0.8 |

`winoffset` |
an odd-numbered window size to use when intersecting subseqent segments - defaults to 5 |

`chain` |
chain object from estimation |

`day` |
POSIXct vector of date-times |

`seg` |
desired segment |

`probl` |
probability level for quantile |

`start` |
known position of release |

`end` |
known position of recapture |

`segment` |
vector of segment data |

`light` |
vector of light data |

`k` |
desired segment to show |

`n` |
length of vector to evaluate |

`...` |
additional arguments to be passed to plot |

The primary function here is `position.logp`

, for
initializing the estimation for `solar.model`

and
`metropolis0`

.

Michael D. Sumner

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