Liang                   Fit a semi-parametric joint model
Liangint                Fit a semi-parametric joint model,
                        incorporating intercept estimation
abacus.plot             Create an abacus plot Creates an abacus plot,
                        depicting visits per subject over time
addcensoredrows         Add rows corresponding to censoring times to a
                        longitudinal dataset
create.bootstrapped.dataset
                        Create a single bootstrap sample for clustered
                        data For clustered data, create a bootstrapped
                        sample by sampling, with replacement, the same
                        number of clusters as in the original dataset.
extent.of.irregularity
                        Measures of extent of visit irregularity
                        Provides visual and numeric measures of the
                        extent of irregularity in observation times in
                        a longitudinal dataset
iiw                     Given a proportional hazards model for visit
                        intensities, compute inverse-intensity weights.
iiw.weights             Compute inverse-intensity weights.
iiwgee                  Fit an inverse-intensity weighted GEE.
lagfn                   Create lagged versions the variables in data
mo                      Multiple outputation for longitudinal data
                        subject to irregular observation.
outputation             Create an outputted dataset for use with
                        multiple outputation.
