simulated.dat: Simulated continuous data with missing and censored values

In hli226/mvnimpute: Simultaneously Impute the Missing and Censored Values

Simulated continuous data with missing and censored values

Description

A dataset including simulated data with missing and censored values

Usage

simulated.dat

Format

A list including data matrix with 200 rows and 4 variables and associated indicator matrix:

y

Outcome variable to be used in the regression model after imputation

x1

First covariate variable subject to MAR missing and non-informative censored values

x2

Second covariate variable subject to MAR missing and non-informative censored values

x3

Third covariate variable that is fully observed

Details

A simulated dataset and its associated indicator matrix are included into a list. In the indicator matrix, 0 stands for the missing values, 1 stands for the observed values, and 3 stands for the left censored values.

hli226/mvnimpute documentation built on July 6, 2022, 11:14 a.m.