Description Usage Arguments Author(s)
Note that it is possible here for alpha = 0
or for beta = 0
(but not both).
In which case, this function becomes the indicator function for x == 0
(when alpha = 0
) or x == size
(when beta = 0
).
1 | dbetabinom(x, size, alpha, beta, log = FALSE)
|
x |
The observed counts. |
size |
The number of trials. |
alpha |
The alpha parameter of the underlying beta. |
beta |
The beta parameter of the underlying beta |
log |
A logical. Should we return the log of the density
( |
David Gerard
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