multinomial: multinomial
In VBmix: Variational Bayesian Mixture Models
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
samples from a k-multinomial.
Usage
1
multinomial(weights, k)
Arguments
weights
numeric vector with the weights of the multinomial. Sum to 1.
k
size of the weight vector.
Value
an integer value in [1,k], coded as a 1-of-k variable (see reference).
Author(s)
Pierrick Bruneau
References
Bishop, C. M. (2006) _Pattern Recognition and Machine Learning_ Chap. 10, Springer.
Examples
1
2
3
weights <- c(0.3, 0.5, 0.2)
multinomial(weights, 3)
#[1] 0 1 0
VBmix documentation built on May 30, 2017, 2:34 a.m.
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Description Usage Arguments Value Author(s) References Examples
Description
samples from a k-multinomial.
Usage
1 | multinomial(weights, k)
|
Arguments
weights |
numeric vector with the weights of the multinomial. Sum to 1. |
k |
size of the weight vector. |
Value
an integer value in [1,k], coded as a 1-of-k variable (see reference).
Author(s)
Pierrick Bruneau
References
Bishop, C. M. (2006) _Pattern Recognition and Machine Learning_ Chap. 10, Springer.
Examples
1 2 3 | weights <- c(0.3, 0.5, 0.2)
multinomial(weights, 3)
#[1] 0 1 0
|
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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