simulate_data: function to simulate double observer spatial distance...

In hierarchicalDS: Functions to Perform Hierarchical Analysis of Distance Sampling Data

Description

function to simulate double observer spatial distance sampling data subject to possible zero inflation and species misidentification

Usage

simulate_data(S, Observers, ZIP = TRUE, misID = TRUE, tau.pois = 15,
  tau.bern = 20)

Arguments

S	number of spatial strata (a single transect is placed in each strata and assumed to cover the whole strata)
Observers	A (2 x S) matrix giving the observer identity for each transect
ZIP	If TRUE, simulate abundance using a zero-inflated Poisson model
misID	If TRUE, assume species misidentification
tau.pois	Precision of the ICAR process for Poisson abundance
tau.bern	Precision of the ICAR process for zero inflation

Value

a distance sampling dataset

Author(s)

Paul B. Conn

hierarchicalDS documentation built on July 3, 2019, 1:07 a.m.