dbetabinom: Beta-binomial distribution: probability mass function
In kylebittinger/polyafit: Fit observed data to a multivariate Polya distribution
dbetabinom R Documentation
Beta-binomial distribution: probability mass function
Description
Beta-binomial distribution: probability mass function
Usage
dbetabinom(k, n, a, b, log = 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
If TRUE, return the natural logarithm
Value
The probability of observing k successes in n trials
kylebittinger/polyafit documentation built on Jan. 11, 2023, 8:53 a.m.
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.
| dbetabinom | R Documentation |
Beta-binomial distribution: probability mass function
Description
Beta-binomial distribution: probability mass function
Usage
dbetabinom(k, n, a, b, log = 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 |
If TRUE, return the natural logarithm |
Value
The 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.