Normal: The normal distribution.
In junlingm/REpiSim: Mathematical Epidemiological Model Simulations in R
Normal R Documentation
The normal distribution.
Description
The normal distribution.
The normal distribution.
Details
This distribution has one parameter named "size" in addition to the
mean, which is the size parameter in stats::dnbinom
Super class
REpiSim::Likelihood -> Normal
Methods
Public methods
Method logL()
Usage
Normal$logL(x, mean, sd)
Method clone()
The objects of this class are cloneable with this method.
Usage
Normal$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
junlingm/REpiSim documentation built on Nov. 28, 2023, 2:35 a.m.
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| Normal | R Documentation |
The normal distribution.
Description
The normal distribution.
The normal distribution.
Details
This distribution has one parameter named "size" in addition to the mean, which is the size parameter in stats::dnbinom
Super class
REpiSim::Likelihood -> Normal
Methods
Public methods
Method logL()
Usage
Normal$logL(x, mean, sd)
Method clone()
The objects of this class are cloneable with this method.
Usage
Normal$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
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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