| wgeesimdata {ELCIC} | R 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