is.linear.logistic: Collection of functions for logistic detection functions
In DistanceDevelopment/mrds: Mark-Recapture Distance Sampling

is.linear.logistic

R Documentation

Collection of functions for logistic detection functions

Description

These functions are used to test whether a logistic detection function is a linear function of distance (is.linear.logistic) or is constant (varies by distance but no other covariates) is.logistic.constant). Based on these tests, the most appropriate manner for integrating the detection function with respect to distance is chosen. The integrals are needed to estimate the average detection probability for a given set of covariates.

Usage

is.linear.logistic(xmat, g0model, zdim, width)

Arguments

`xmat`	data matrix
`g0model`	logit model
`zdim`	number of columns in design matrix
`width`	transect width

Details

If the logit is linear in distance then the integral can be computed analytically. If the logit is constant or only varies by distance then only one integral needs to be computed rather than an integral for each observation.