pbetabinom: Beta-binomial distribution: cumulative distribution function
In kylebittinger/polyafit: Fit observed data to a multivariate Polya distribution
pbetabinom R Documentation
Beta-binomial distribution: cumulative distribution function
Description
Beta-binomial distribution: cumulative distribution function
Usage
pbetabinom(k, n, a, b, log.p = TRUE)
Arguments
k
Vector of successes.
n
Number of trials.
a
First shape parameter of Beta distribution (must be positive)
b
Second shape parameter of Beta distribution (must be positive)
log.p
If TRUE, return the natural logarithm
Value
The cumulative probability of observing k successes in n trials
kylebittinger/polyafit documentation built on Jan. 11, 2023, 8:53 a.m.
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| pbetabinom | R Documentation |
Beta-binomial distribution: cumulative distribution function
Description
Beta-binomial distribution: cumulative distribution function
Usage
pbetabinom(k, n, a, b, log.p = TRUE)
Arguments
k |
Vector of successes. |
n |
Number of trials. |
a |
First shape parameter of Beta distribution (must be positive) |
b |
Second shape parameter of Beta distribution (must be positive) |
log.p |
If TRUE, return the natural logarithm |
Value
The cumulative probability of observing k successes in n trials
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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