simDat122: Simulate data for Chapter 12.2: Overdispersed counts

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

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)

Arguments

nSites	Number of sites
alpha	Intercept
beta	Slope for land use
sd	Standard deviation for overdispersion

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

Author(s)

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))

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