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DSsim (version 1.1.4)

cov.summary.list: Covariate Truncation Simulation Summaries

Description

This is a list of 5 simulation summaries. Data were generated using a systematic line transect design and a mixture of two half normal detection functions describing detectability, one for males and one for females. Each of the five simulation summaries corresponds to a different analysis truncation distance when fitting the detection function model which was selected from either a half normal or hazard rate based on the minimum AIC. These simulations investigate whether truncation distance affects the accuracy and precision of the estimates of abundance / density.

Usage

data("trunc_cov_summary")

Arguments

Format

The format is: List of 5

t200

a simulation summary (truncation = 200)

t400

a simulation summary (truncation = 400)

t600

a simulation summary (truncation = 600)

t800

a simulation summary (truncation = 800)

t1000

a simulation summary (truncation = 1000)

Examples

Run this code
# NOT RUN {
data(trunc_cov_summary)
cov.summary.list$t200
# }

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