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logisticdupbyx

Logistic for duplicates as a function of covariates


Description

Treats logistic for duplicates as a function of covariate z; for a given z it computes the function at with those covariate values at a range of distances.

Usage

logisticdupbyx(distance, x1, x2, models, beta, point)

Arguments

distance

vector of distance values

x1

covariate data for fct 1

x2

covariate data for fct 2

models

model list

beta

logistic parameters

point

TRUE for point transect data

Value

vector of probabilities

Author(s)

Jeff Laake


mrds

Mark-Recapture Distance Sampling

v2.2.4
GPL (>= 2)
Authors
Jeff Laake <jeff.laake@noaa.gov>, David Borchers <dlb@st-and.ac.uk>, Len Thomas <len.thomas@st-and.ac.uk>, David Miller <dave@ninepointeightone.net> and Jon Bishop
Initial release

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