PDiSSFModel: PDiSSFModel

In jlombard314159/Probability-of-Detection-integrated-Step-Selection-Function: Probability of Detection integrated Step Selection Function (PDiSSF)

PDiSSFModel

Description

Sets up the parameter estimation for the log-likelihood function. Not recommended for isolated use.

Usage

PDiSSFModel(selection, p, locations, ncells, maximumGap, iSSFCovar, LogCovar)

Arguments

selection	Model for habitat selection
p	Model for encounter probabilities
locations	Dataframe of animal locations
ncells	Number of cells in the study area
maximumGap	Maximum allowable number of consecutive missing fixes. Default is 3 (3 consecutive missing locations). Larger max lags will increase computing time and may result in non convergence.
iSSFCovar	Covariates for the iSSF. Not explicitly specified by user, comes directly from pdissf.R.
LogCovar	Covariates for the probability of detection, plus an intercept term. Not explicitly specified by user, comes directly from pdissf.R

jlombard314159/Probability-of-Detection-integrated-Step-Selection-Function documentation built on July 7, 2022, 11:55 p.m.