find_sigma: Iteratively find sigma for half-normal detection function
In philipshirk/nmmsims: Simulate & Analyze N-mixture Model Data
Description
Usage
Arguments
Value
Examples
Description
Because I'm too lazy to work out the math for calculating sigma (SD) precisely,
I created this function to iteratively find sigma (SD) for a half-normal
detection function. It assumes a half-normal detection function with SD = sigma.
Usage
1
find_sigma(start = 0.1, W = 20, p_true = 0.42)
Arguments
start
starting guess (default is fine)
W
known transect half-width
p_true
known detection probability
Value
sd of normal distribution to the nearest 0.01
Examples
1
philipshirk/nmmsims documentation built on Feb. 26, 2020, 11:27 a.m.
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Description Usage Arguments Value Examples
Description
Because I'm too lazy to work out the math for calculating sigma (SD) precisely, I created this function to iteratively find sigma (SD) for a half-normal detection function. It assumes a half-normal detection function with SD = sigma.
Usage
1 | find_sigma(start = 0.1, W = 20, p_true = 0.42)
|
Arguments
start |
starting guess (default is fine) |
W |
known transect half-width |
p_true |
known detection probability |
Value
sd of normal distribution to the nearest 0.01
Examples
1 |
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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