rCategorical: Random generation for Categorical distribution
In bbricks: Bayesian Methods and Graphical Model Structures for Statistical Modeling
Description
Usage
Arguments
Value
See Also
Examples
View source: R/Categorical_Inference.r
Description
Generate random integer samples from a Categorical distribution. For a random variable x, the density function of categorical distribution is defined as
prod_{k in 1:K} p_k^{I(x=k)}
Where K is the number of unique values.
Usage
1
rCategorical(n, p)
Arguments
n
integer, number of samples.
p
numeric, probabilities. length(p)=K.
Value
An integer vector of length n.
See Also
Examples
1
rCategorical(n=20,p=c(1,2))
bbricks documentation built on July 8, 2020, 7:29 p.m.
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Description Usage Arguments Value See Also Examples
View source: R/Categorical_Inference.r
Description
Generate random integer samples from a Categorical distribution. For a random variable x, the density function of categorical distribution is defined as
prod_{k in 1:K} p_k^{I(x=k)}
Where K is the number of unique values.
Usage
1 | rCategorical(n, p)
|
Arguments
n |
integer, number of samples. |
p |
numeric, probabilities. length(p)=K. |
Value
An integer vector of length n.
See Also
Examples
1 | rCategorical(n=20,p=c(1,2))
|
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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