Description Usage Arguments Details Value Author(s) See Also Examples

Calculate the variance of a random variable having a beta binomial distribution.

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`mo` |
For the |

`s` |
Numeric scalar, greater than 0. The overdispersion parameter
of the distribution. (See the help for |

`size` |
Integer scalar specifying the upper limit of the “support”
of the beta binomial distribution under consideration. The support
is the set of integers |

`...` |
Not used. |

For the `"mleBb"`

method, the single argument should really
be called (something like) “`object`

” and for the
default method the first argument should be called `m`

.
However the argument lists must satisfy the restrictions that
“*A method must have all the arguments of the generic,
including ... if the generic does.*” and “*A method
must have arguments in exactly the same order as the generic.*”

For the `"mleBb"`

method, the values of `m`

and `s`

are obtained from `mo`

, and `size`

is extracted from
the attributes of `mo`

.

The variance of a beta binomial distribution is readily calculable “by hand”. These functions are provided for convenience and to preserve parallelism with the db distribution.

Numeric scalar equal to the variance of a beta binomial distributed random variable with the given parameters.

Rolf Turner r.turner@auckland.ac.nz

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