Simple simulated data

A simulated dataset to demonstrate how to model different types of measurement error and missing data using the 'inlamemi' package.

Usage

simple_data

Format

## `simple_data` A data frame with 1000 rows and 4 columns:

y

Response variable

x

Covariate measured with error, both Berkson and classical error and missing observations

x_true

Correct version of the covariate with error

z

Error free covariate, correlated with x

Source

The dataset is simulated.