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 |