| 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. |
| CP1.ar1 | 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. |
| formulaToDat | Performs the maximum likelihood estimation for 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)_ |
| jCP | 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. |
| jCP.ar1 | 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. |
| 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'. |
| MCCP.ar1 | 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. |
| 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 |