create.model.frame: Create a model frame for ddf fitting

In mrds: Mark-Recapture Distance Sampling

Create a model frame for ddf fitting

Description

Creates a model.frame for distance detection function fitting. It includes some pre-specified and computed variables with those included in the model specified by user (formula)

Usage

create.model.frame(xmat, scale.formula, meta.data, shape.formula = NULL)

Arguments

xmat	dataframe for ddf
scale.formula	user specified formula for scale of distance detection function
meta.data	user-specified meta.data (see ddf
shape.formula	user specified formula for shape parameter of distance detection function

Details

The following fields are always included: detected, observer, binned, and optionally distance (unless null), timesdetected (if present in data). If the distance data were binned, include distbegin and distend point fields. If the integration width varies also include int.begin and int.end and include an offset field for an iterative glm, if used. Beyond these fields only fields used in the model formula are included.

Value

model frame for analysis

Note

Internal function and not called by user

Author(s)

Jeff Laake

mrds documentation built on July 9, 2023, 6:06 p.m.