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mmm (version 1.2)

mlgd: Multivariate Longitudinal Continuous (Gaussian) Data (MLGD)

Description

A data frame with 2000 observations on the following 6 variables. MLGD is a simulated bivariate longitudinal continuous dataset assuming there are 500 subjects in the study whose data are collected at 4 equally-spaced time points.

Usage

data(mlgd)

Arguments

Details

The covariates, X and time are the standardized values indeed. The related interaction is calculated by using these standardized values. X is a time-independent covariate.

References

Asar, O. (2012). On multivariate longitudinal binary data models and their applications in forecasting. MS Thesis, Middle East Technical University Genz, A., Bretz, F., Miwa, T., Mi, X., Leisch, F., Scheipl, F., Hothorn, T. (2011). mvtnorm: Multivariate Normal and t Distributions. R package version 0.9-96. URL http://CRAN.R-project.org/package=mvtnorm.

Examples

Run this code
data(mlgd)
plot(mlgd$X,mlgd$resp1)

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