simDat20: Simulate data for Chapter 20: Integrated model

In ASMbook: Functions for the Book "Applied Statistical Modeling for Ecologists"

Simulate data for Chapter 20: Integrated model

Description

Simulate three count datasets under different data collection conditions

Usage

simDat20(
  nsites1 = 500,
  nsites2 = 1000,
  nsites3 = 2000,
  mean.lam = 2,
  beta = -2
)

Arguments

nsites1	Number of sites in regular count dataset
nsites2	Number of sites in zero-truncated count dataset
nsites3	Number of sites in detection/non-detection dataset
mean.lam	Mean site abundance
beta	Slope for elevation covariate

Value

A list of simulated data and parameters.

nsites1	Number of sites in regular count dataset
nsites2	Number of sites in zero-truncated count dataset
nsites3	Number of sites in detection/non-detection dataset
mean.lam	Mean site abundance
beta	Slope for elevation covariate
C1	Simulated regular counts from dataset 1
C2	Simulated regular counts from dataset 2
C3	Simulated regular counts from dataset 3
ztC2	Simulated zero-truncated counts from dataset 2
y	Simulated detection/non-detection data from dataset 3

Author(s)

Marc Kéry

Examples

str(dat <- simDat20())             # Implicit default arguments

# Revert to an 'integrated Poisson/binomial model-of-the-mean': no effect of elevation on abundance
str(dat <- simDat20(nsites1 = 500, nsites2 = 1000, nsites3 = 2000, mean.lam = 2, beta = 0))

ASMbook documentation built on Sept. 11, 2024, 5:38 p.m.