meanimp {asmbPLS}

Mean imputation for the survival time

Description

In this approach, \mu can be computed using the familiar sample mean formula provided the censored values are imputed.

Usage

meanimp(survival.data, round = FALSE)

Arguments

survival.data

A matrix of two columns with the first column indicates the survival time and the second column indicates the event indicator (1 and 0, where 1 indicates observed event and 0 indicates unobserved event).

round

Whether survival time should be rounded, default = FALSE.

Value

meanimp returns a list containing the following components:

imputed_table

A matrix containing the original survival data and the imputed time.

KM_table

Kaplan-Meier estimator of failure times.

Examples

## Generate the survival data
data_test <- matrix(c(1, 1, 1, 2.5, 5, 7, 1, 1, 0, 1, 0, 1), ncol = 2)

## Mean imputation
meanimp(data_test, round = FALSE)