mult_dist: Multinomial Distribution
In fourthz/nplearn: Nonparametric Statistics Learning
mult_dist R Documentation
Multinomial Distribution
Description
Multinomial Distribution
Usage
mult_dist(x, pd, chi2.sort = FALSE)
Arguments
x
integer vector
pd
numeric vector
chi2.sort
boolean
Value
data frame of probability distribution
Examples
observed <- c(5, 3, 0, 0)
probabilities <- c(0.25, 0.25, 0.25, 0.25)
mult_dist(observed, probabilities)
fourthz/nplearn documentation built on April 24, 2023, 1:51 a.m.
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| mult_dist | R Documentation |
Multinomial Distribution
Description
Multinomial Distribution
Usage
mult_dist(x, pd, chi2.sort = FALSE)
Arguments
x |
integer vector |
pd |
numeric vector |
chi2.sort |
boolean |
Value
data frame of probability distribution
Examples
observed <- c(5, 3, 0, 0)
probabilities <- c(0.25, 0.25, 0.25, 0.25)
mult_dist(observed, probabilities)
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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