CP.ar1.se               Compute a conditional probability of observing
                        a set of counts as extreme as the new
                        observations of a subjectvisit given the
                        previous observations of the same subject based
                        on the negative binomial mixed-effect AR(1)
                        model.
CP.se                   Compute a conditional probability of observing
                        a set of counts as extreme as the new
                        observations of a subject given the previous
                        observations from the same subject based on the
                        negative binomial mixed effect independent
                        model.
index.batch             Compute the point estimate and its 95 of the
                        conditional probability _
                        Pr(q(Y_i,new)>=q(y_i,new)| Y_i,pre=y_i,pre)_
lmeNB                   Performs the maximum likelihood estimation for
                        the negative binomial mixed-effect model. This
                        function is a wrapper for 'mle.fun',
                        'mle.ar1.fun', 'mle.a3.fun' and 'mle.ar1.non3'.
mle.a3.fun              Fit the semi-parametric negative binomial
                        mixed-effect independent model.
mle.ar1.fun             Performs the maximum likelihood estimation for
                        the negative binomial mixed-effect AR(1) model
mle.ar1.non3            Fit the semi-parametric negative binomial
                        mixed-effect AR(1) model.
mle.fun                 Performs the maximum likelihood estimation for
                        the negative binomial mixed-effect independent
                        model
rNBME.R                 Simulate a dataset from the negative binomial
                        mixed-effect independent/AR(1) model
