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mmm2 (version 1.0)

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., Ilk, O. (2012). mmm: An R package for Multivariate Marginal Models. Submitted. 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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