Description Usage Arguments Details Value Author(s) References See Also

Mark-Recapture Distance Sampling (MRDS) Analysis of Trial Observer Configuration and Point Independence

1 2 3 |

`dsmodel` |
distance sampling model specification; model list with key function and scale formula if any |

`mrmodel` |
mark-recapture model specfication; model list with formula and link |

`data` |
analysis |

`meta.data` |
list containing settings controlling data structure |

`control` |
list containing settings controlling model fitting |

`call` |
original function call used to call |

MRDS analysis based on point independence involves two separate and
independent analyses of the mark-recapture data and the distance sampling
data. For the trial configuration, the mark-recapture data are analysed
with a call to `ddf.trial.fi`

(see likelihood eq 6.12 and 6.17
in Laake and Borchers 2004) to fit a conditional distance sampling detection
function for observer 1 based on trials (observations) from observer 2 to
estimate p_1(0), detection probability at distance zero for observer 1.
Independently, the distance data from observer 1 are used to fit a
conventional distance sampling (CDS) (likelihood eq 6.6) or multi-covariate
distance sampling (MCDS) (likelihood eq 6.14) model for the detection
function, g(y), such that g(0)=1. The detection function for observer 1 is
then created as p_1(y)=p_1(0)*g(y) (eq 6.28 of Laake and Borchers 2004) from
which predictions are made. `ddf.trial`

is not called directly by the
user and is called from `ddf`

with `method="trial"`

.

For a complete description of each of the calling arguments, see
`ddf`

. The argument `dataname`

is the name of the
dataframe specified by the argument `data`

in `ddf`

. The arguments
`dsmodel`

, `mrmodel`

, `control`

and `meta.data`

are
defined the same as in `ddf`

.

result: a trial model object which is composed of `trial.fi`

and `ds`

model objects

Jeff Laake

Laake, J.L. and D.L. Borchers. 2004. Methods for incomplete detection at distance zero. In: Advanced Distance Sampling, eds. S.T. Buckland, D.R.Anderson, K.P. Burnham, J.L. Laake, D.L. Borchers, and L. Thomas. Oxford University Press.

`ddf.trial.fi`

, `ddf.ds`

, `summary.trial`

, `coef.trial`

, `plot.trial`

, `gof.trial`

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