Multiple Imputation for Recurrent Events
Create a Dropout Mechanism with constant dropout rate
Create a copy reference ImputeMechanism
object
A function which creates a DropOut Mechanism object
A function which creates an Impute Mechanism object
Create Scenario
object from list of Fit Summaries
Data frame of covariates for simulating recurrent events
DropoutMechanism object
Expand event counts into a list of event times
Extract the results of running a scenario
Output a single imputed data set
Import an existing data frame for use with the package
Produce imputed data sets
ImputeMechanism object
ImputeSim object
ImputeSimFit object
Create a Dropout Mechanism with drop out rate which changes by a fixed...
Create a DejaData
object
S3 generic to output the number of subjects in a given object
Scenario object
S3 generic for fitting models
Simulate a complete data set
Simulate subject dropout
SingleSim Object
SingleSimFit object
S3 generic to output the number of subjects in each arm for a given ob...
summary.ImputeSimFit object
summary.Scenario object
summary.SingleSim object
summary.SingleSimFit
Create a weighted_j2r ImputeMechanism
object
Performs reference based multiple imputation of recurrent event data based on a negative binomial regression model, as described by Keene et al (2014) <doi:10.1002/pst.1624>.