Description Usage Arguments Details Note Author(s) References See Also Examples
Gives a maximum likelihood estimate for the parameters of a Dirichlet distribution, on the basis of datapoints drawn from a multivariate beta distribution
1 |
M |
Integer matrix whose rows give multinomial observations |
start_a |
Start point for optimization, with default |
give |
Boolean, with default |
method |
Text string specifying the optimization routine to use.
Two values coded: default |
... |
Further arguments passed to |
Finds the maximum likelihood estimate from the equation 7 of Mosimann 1962.
The nlm()
function appears to be better suited to this problem
than optim()
.
Robin K. S. Hankin
J. E. Mosimann 1962. “On the compound multinomial distribution, the multivariate beta-distribution, and correlations among proportions”. Biometrika, volume 49, numbers 1 and 2, pp65-82.
1 2 |
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