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SimTimeVar: Simulate Longitudinal Dataset with Time-Varying Correlated Covariates
Flexibly simulates a dataset with time-varying covariates with user-specified exchangeable correlation structures across and within clusters. Covariates can be normal or binary and can be static within a cluster or time-varying. Time-varying normal variables can optionally have linear trajectories within each cluster. See ?make_one_dataset for the main wrapper function. See Montez-Rath et al. <arXiv:1709.10074> for methodological details.
Getting started
Browse package contents
Package details |
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| Author | Maya B. Mathur, Kristopher Kapphahn, Ariadna Garcia, Manisha Desai, Maria E. Montez-Rath |
| Maintainer | Maya B. Mathur <mmathur@stanford.edu> |
| License | GPL-2 |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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