rPPP: Simulate a weighted-permanental point pattern
In adchSTATS/icpp: Simulate a limiting iterated cluster point process
Description
Usage
Arguments
Value
Description
Simulate an alpha-weighted-permanental point pattern when alpha is half an integer. This may be regarded as a Cox process.
Usage
1
rPPP(intens, kernel_sd, alpha = 0.5, win = owin())
Arguments
intens
Non-negative numeric. Desired intensity.
kernel_sd
Non-negative numeric. Kernel standard deviation.
alpha
Half integer. Default is 1/2. The weight of the weighted permanental point process.
win
Window of class owin. Default is owin().
Value
A pixel image of class im.
adchSTATS/icpp documentation built on May 28, 2019, 3:54 p.m.
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Description Usage Arguments Value
Description
Simulate an alpha-weighted-permanental point pattern when alpha is half an integer. This may be regarded as a Cox process.
Usage
1 | rPPP(intens, kernel_sd, alpha = 0.5, win = owin())
|
Arguments
intens |
Non-negative numeric. Desired intensity. |
kernel_sd |
Non-negative numeric. Kernel standard deviation. |
alpha |
Half integer. Default is |
win |
Window of class |
Value
A pixel image of class im.
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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