multichoose: Multinomial coefficient
In kylebittinger/polyafit: Fit observed data to a multivariate Polya distribution
multichoose R Documentation
Multinomial coefficient
Description
Multinomial coefficients give the number of ways to partition a set of
N objects into K containers, where each contains n_k
elements.
{N \choose n_1, n_2, …, n_K} = \frac{N!}{n_1!n_2! \cdots n_K!}
Usage
multichoose(x, log = TRUE)
Arguments
x
Vector representing the number of times each outcome was observed
log
If TRUE, return the natural logarithm
Value
The multinomial coefficient
kylebittinger/polyafit documentation built on Jan. 11, 2023, 8:53 a.m.
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| multichoose | R Documentation |
Multinomial coefficient
Description
Multinomial coefficients give the number of ways to partition a set of N objects into K containers, where each contains n_k elements.
{N \choose n_1, n_2, …, n_K} = \frac{N!}{n_1!n_2! \cdots n_K!}
Usage
multichoose(x, log = TRUE)
Arguments
x |
Vector representing the number of times each outcome was observed |
log |
If TRUE, return the natural logarithm |
Value
The multinomial coefficient
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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