dCategorical: Probability mass function 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
Calculate probability masses for integer valued Categorical random samples.
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
dCategorical(x, p)
Arguments
x
integer, categorical samples.
p
numeric, probabilities.
Value
A numeric vector of the same length of 'x'.
See Also
Examples
1
dCategorical(x=c(1L,2L,1L),p=c(1,2))
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Description Usage Arguments Value See Also Examples
View source: R/Categorical_Inference.r
Description
Calculate probability masses for integer valued Categorical random samples. 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 | dCategorical(x, p)
|
Arguments
x |
integer, categorical samples. |
p |
numeric, probabilities. |
Value
A numeric vector of the same length of 'x'.
See Also
Examples
1 | dCategorical(x=c(1L,2L,1L),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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