ASMbook (version 1.0.2)

simDat122: Simulate data for Chapter 12.2: Overdispersed counts

Description

Generate counts of hares in two landuse types when there may be overdispersion relative to a Poisson

Usage

simDat122(nSites = 50, alpha = log(2), beta = log(5) - log(2), sd = 0.5)

Value

A list of simulated data and parameters.

nSites

Number of sites

alpha

Intercept

beta

Slope for land use

sd

Standard deviation for overdispersion

C_OD

Simulated hare counts with overdispersion

C_Poisson

Simulated hare counts without overdispersion

Arguments

nSites

Number of sites

alpha

Intercept

beta

Slope for land use

sd

Standard deviation for overdispersion

Author

Marc Kéry

Examples

str(dat <- simDat122())      # Implicit default arguments

# Much greater OD to emphasize patterns (also larger sample size)
str(dat <- simDat122(nSites = 100, sd = 1))

# Revert to "Poisson model-of-the-mean" (i.e., without an effect of landuse type)
str(dat <- simDat122(nSites = 100, beta = 0, sd = 1))