negbinom.score | R Documentation |
This function computes the log-likelihood score for the negative binomial distribution as described in dmixnegbinom
.
negbinom.score(theta, N, E)
theta |
vector of parameter values. |
N |
vector of observed error profiles counts. |
E |
vector of expected error profiles counts. |
For further details see Myers et al. (2011).
negbinom.score
returns the vector of log-likelihood score values for the negative binomial distribution.
Sergio Venturini sergio.venturini@unicatt.it,
Jessica A. Myers jmyers6@partners.org
DuMouchel W. (1999), "Bayesian Data Mining in Large Frequency Tables, with an Application to the FDA Spontaneous Reporting System". The American Statistician, 53, 177-190.
Myers, J. A., Venturini, S., Dominici, F. and Morlock, L. (2011), "Random Effects Models for Identifying the Most Harmful Medication Errors in a Large, Voluntary Reporting Database". Technical Report.
dnegbinom
,
negbinom.em
,
negbinom.loglik
.
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