wgeesimdata: Data simulated for model selection under WGEE framework for...

wgeesimdataR Documentation

Data simulated for model selection under WGEE framework for missing longitudinal data under the mechanism of missing at random and drop-out.

Description

Data simulated for model selection under WGEE framework for missing longitudinal data under the mechanism of missing at random and drop-out.

Usage

data(wgeesimdata)

Format

An object of class "list"

y

The outcomes generated from Bernoulli distribution with three repeated measurements from each subject. The data is longitudinal dropout and missing at random.

x

A full covariate matrix. The first column corresponds to the intercept; the second column contains time-independent continuous-scale variable x1; the third column contains a doctor-visit variable x2; the third column contains time-independent binary-scale variable x3.

x_mis

A covariate matrix for missing data model. The first column corresponds to the intercept; the second column contains continuous variable x_mis1.

id

A vector indicating subject id.

obs_ind

A vector indicating observations for each record: 1 for observed records, and 0 for unobserved records.

References

This data set was artificially created for the ELCIC package.

Examples


data(wgeesimdata)
wgeesimdata$y


ELCIC documentation built on Feb. 16, 2023, 7:18 p.m.