trunc_summary: Truncation Simulation Summaries
In DSsim: Distance Sampling Simulations
Description
Usage
Format
Examples
Description
This is a list of 3 simulation summaries. Data were generated using a systematic line transect
design and a single half normal detection function describing detectability. Each of the three
simulation summaries corresponds to a different analysis truncation distance, to test if this
affects the accuracy and precision of the estimates of abundance / density.
Usage
1
data("trunc_summary")
Format
The format is: List of 5
t200a simulation summary (truncation = 200)
t400a simulation summary (truncation = 400)
t600a simulation summary (truncation = 600)
Examples
1
2
data(trunc_summary)
summary.list$t200
DSsim documentation built on March 26, 2020, 7:39 p.m.
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Description Usage Format Examples
Description
This is a list of 3 simulation summaries. Data were generated using a systematic line transect design and a single half normal detection function describing detectability. Each of the three simulation summaries corresponds to a different analysis truncation distance, to test if this affects the accuracy and precision of the estimates of abundance / density.
Usage
1 | data("trunc_summary")
|
Format
The format is: List of 5
t200a simulation summary (truncation = 200)
t400a simulation summary (truncation = 400)
t600a simulation summary (truncation = 600)
Examples
1 2 | data(trunc_summary)
summary.list$t200
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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