ImputeMechanism.object: ImputeMechanism object

In dejaVu: Multiple Imputation for Recurrent Events

Description

An object which defines a mechanism for taking a SingleSimFit object and imputing missing data to create a ImputeSim

Arguments

name	The method name (used for printing)
cols.needed	which columns of the SingleSim data frame are required by the method, typically c("censored.time","observed.events","arm")
impute	A function which takes a SingleSimFit object and outputs the details for a single imputed data set, specifically a list with two elements: new.censored.times - a vector of times subjects were censored (after taking into account imputation) and newevent.times - a list of vectors where the vectors contain the imputed event times for the subjects (these vectors do not contain the observed event times before subject drop out). If a subject has no imputed events then the vector numeric(0) is returned.
parameters	A list of named parameters describing the method (used for printing) - or NULL if none

Details

It is possible to create user defined mechanisms, however, common mechanisms have already been implemented. For example see weighted_j2r

A print.ImputeMechanism method is defined.

Structure

The following components must be included in an ImputeMechanism Object

Examples

j2r <- weighted_j2r(trt.weight=0)

dejaVu documentation built on April 27, 2021, 5:07 p.m.