rbeta_ab: The Beta distribution
In pacific-hake/hake-assessment: Stock Assessment for Pacific Hake
rbeta_ab R Documentation
The Beta distribution
Description
The Beta distribution
Usage
rbeta_ab(n, prior, sd, min, max)
dbeta_ab(x, prior, sd, min, max)
Arguments
n
The number of random values you want in the returned vector.
prior
Prior value
sd
Standard deviation
min
Minimum value
max
Maximum value
x
X value for distribution
Details
Random generation for the Beta distribution with parameters based on the
mean and standard deviation as well as the ranges as implemented in
CASAL. This formulation is also available on Wikipedia.
This function is a direct copy of the code available from Wetzel and Punt.
Value
A vector of doubles, where the length of the vector depends on the
length of x value passed to n.
dbeta_ab returns density estimates for each input value and rbeta_ab
provides random deviates from the Beta distribution.
pacific-hake/hake-assessment documentation built on Jan. 14, 2025, 9:12 p.m.
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| rbeta_ab | R Documentation |
The Beta distribution
Description
The Beta distribution
Usage
rbeta_ab(n, prior, sd, min, max)
dbeta_ab(x, prior, sd, min, max)
Arguments
n |
The number of random values you want in the returned vector. |
prior |
Prior value |
sd |
Standard deviation |
min |
Minimum value |
max |
Maximum value |
x |
X value for distribution |
Details
Random generation for the Beta distribution with parameters based on the mean and standard deviation as well as the ranges as implemented in CASAL. This formulation is also available on Wikipedia. This function is a direct copy of the code available from Wetzel and Punt.
Value
A vector of doubles, where the length of the vector depends on the
length of x value passed to n.
dbeta_ab returns density estimates for each input value and rbeta_ab
provides random deviates from the Beta distribution.
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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